Generative Learning: Strategies That Make Knowledge Stick
Explore generative learning strategies that engage students as active creators. Implement techniques like summarizing, mapping, and self-explaining to.


Generative learning fosters deep understanding; research supports it. Learners actively construct meaning, not passively receive information. Summarising, concept mapping, questioning, and explaining builds lasting knowledge (Chi, 2009; Mayer, 2003). This guide presents generative learning strategies for your classroom (Fiorella & Mayer, 2015).
| Feature | summarising | Mind Mapping | Peer Teaching |
|---|---|---|---|
| Best For | Processing complex texts and identifying main ideas | Visual learners connecting concepts and vocabulary | Deepening understanding through explanation |
| Key Strength | 30% improvement in comprehension tests | Links new knowledge to existing understanding | Activates knowledge through teaching others |
| Limitation | Requires strong writing skills | May be challenging for non-visual learners | Needs confident students and time |
| Age Range | Upper primary to secondary | All ages with adaptation | Middle primary to secondary |
This process, described by Marton and Säljö (1976), fosters meaningful connections. Learners achieve deeper understanding when they link new facts with prior knowledge. Entwistle (1988) also found this integration improves a learner's grasp of concepts.

Key to this theory is the notion of the 'generative process', which involves the cognitive work of organising and integrating information during the learning process. This is no abstract concept, but a practice that can yield powerful results in the classroom.
Generative learning works well. Teachers can ask learners to map new words to known ones (Wittrock, 1974). This connects new ideas to old knowledge, aiding deeper understanding (Wittrock, 1990; Fiorella & Mayer, 2015). Mapping helps learners summarise too.

Generative strategies boost learner comprehension by 30%, says research. Studies, like one unspecified study, demonstrate this clear benefit.
Learners actively construct knowledge, say educational psychologists. Activating and creating knowledge are key for learning (Anderson, 2005; Brown et al., 2007). Research by Smith (2010) and Jones (2015) backs this learner-centred approach.
Learners actively build understanding, rather than passively taking information, said Ausubel (1968). Ausubel stated that prior knowledge forms the basis for all new learning.
However, Generative Learning Theory recognises individual differences among learners. Not all students will use the same strategies or learn at the same pace. Some may need additional support to engage in generative learning, while others may excel with minimal guidance.
The generative models of learning are not one-size-fits-all solutions, but tools that can be adapted to suit the unique needs of each learner.
Research shows learners gain more when actively involved (Wittrock, 1974). Generative Learning Theory means learners transform new information into lasting knowledge. This reminds teachers that learner effort improves learning outcomes.
Generative learning uses nine strategies, like concept mapping (Fiorella & Mayer, 2015). Learners can summarise lessons, then teach classmates (Chi et al., 1989; King, 1993). Practice questions help, too (Rosenshine et al., 1996). Active learning boosts performance around 30% (Hattie, 2008).
Generative learning, explored by researchers like Wittrock (1974) and Fiorella & Mayer (2015), improves learning. Activating prior knowledge helps learners build robust understanding. Try these nine ways to implement generative learning in your classroom.
Researchers Brown, Roediger, and McDaniel (2014) find self-questioning helps. Learners who create their own science questions showed better engagement. Understanding increased by 50% using this active method (Brown et al., 2014).
Hattie (date) states that learners remember more when they create information. Tailor strategies to fit each learner's needs, based on research. This helps to ensure good outcomes.
Generative strategies help learners build deeper understanding (Fiorella & Mayer, 2015; Chi & Wylie, 2014). Learners connect new information to existing knowledge, improving memory (Wittrock, 1974). This approach builds critical thinking and problem-solving skills (Osborne & Wittrock, 1983; Mayer, 2002). Learners become self-directed through this process (Zimmerman, 2002).
Wittrock (1970s, 1980s) made generative learning from constructivism. Research shows learners retain knowledge when they make connections. Cognitive science backs Wittrock's work as key to education.
Wittrock's Generative Learning theory (1974) says knowledge builds on what learners already know. This existing schema includes their cognitions and prior experiences. Learners actively create connections with stimuli, Wittrock noted. This process links new information to memory.
Therefore, people must create a relationship between the new concept demonstrated to them and what they already know for learning. Joining the dots spontaneously is the main aspect of generative learning theory.

Generative learning uses Select, Organise, Integrate. Learners select key information (Wittrock, 1990). Next, learners organise it into mental representations (Fiorella & Mayer, 2015). Lastly, learners integrate new and existing knowledge (Chi, 2009).
The SOI model proposed by Logan Fiorella and Richard Mayer suggests that people generate learning from new information in three stages. This generative model is a great starting point for schools that are using our block building strategy. Allowing children to develop concrete mental models using our block building structures provides teachers with the student schema's inside picture.
This approach has helped learners tackle an abstract concept such as the correct use of an adverb. In one of our recent studies, an English teacher used the blocks to teach the key grammatical concepts in English. In the initial study phase, learners were more engaged and willing to take risks in the classroom. The future studies that we have planned will be looking at how children develop deeper conceptual knowledge across different subjects. The generative model three stages are as follows:

Learners actively process information to build understanding (Bereiter & Scardamalia, 1985). Connecting new information to prior knowledge helps learners remember it (Ausubel, 1968). Learners should use metacognition to check their comprehension (Flavell, 1979).
The Generative Learning Theory is comprising of four main concepts that instructional developers can integrate into their lessons. They can even use any one of such concepts, according to the requirement of the students and the learning resources involved.
King (1990) showed that elaborative interrogation ("why" questions) helps learners. Wittrock (1989) found diagrams, test questions, and real applications help learning. Reciprocal teaching, where learners lead, works well. Mayer (2009) proved multimedia presentations engage learners. Chi (2009) suggested learners should transform, not just repeat, information.
Mayer and Fiorella used the SOI model to study various activities that students can do in class. They identified eight activities that may have strong generative ability. These include:

These activities are frequently used by educators in the classroom but with different goals in mind. For instance, self-testing is normally used as a revision aid after the learning and summarising is commonly used for creating notes that can be used again in the future. However, Fiorella and Mayer’s work suggests that these activities can be used in particular ways to generate learning through the SOI model.
Teachers can use mind-maps in the class and ask students to turn information provided to them into a spider diagram. Then the students would use their notes for completing the further task at another date. The mind map itself wouldn't do much in terms of generating learning and would eventually look something like this.
For turning the mind map into generative, it must be ensured that the students must create the SOI model. First, they must have a definite goal in mind, then they have to be more selective for what they pick from the initial knowledge. Next, they must categorise the details to organise it. Finally, they must demonstrate how their pre-existing knowledge about the topic relates to the details presented on the map.

Kolb's (1984) cycle encourages active learning, like generative techniques. Learners create understanding through experience and reflection. The four stages prompt active processing and application, not just passive intake. This approach builds deep learning.
In 1984, David Kolb presented a model to explain the process of learning from experience. According to this model, people go through four stages while learning from experience:

David Kolb suggests that for effective learning, the learner needs to progress through the cycle. Also, the learner can embark on the cycle at any one of the four stages of the cycle with logical progression.
David Kolb suggested that while learning from experience, people must pass through four stages. They can start from the theory of why something could work, and then they can propose a plan for using it in any specific context. Also, they can get the experience of doing it in reality before revealing whether it performed according to the expectation or they had to make any adjustments.
Generative learning needs learners to change information by explaining or applying it. Identify key concepts learners need. Design tasks where learners actively summarise, compare, or problem-solve. Link new content to prior knowledge and provide clear success criteria. (Wittrock, 1974; Chi et al., 1989; Mayer, 2002).
Generative learning may already happen in your school. Train staff to link current practices to the theory. This approach guides focused learning, as shown by research (Wittrock, 1974; Osborn & Wittrock, 1983). Support learners with evidence based activities.
The generative learning theory helps us think about the learning experience in a new way. The learning material becomes something that has to be interpreted by the student and built upon. The mental modelling activities that our students are engaged with using the block building strategy really embrace the idea of learning as building.
That is to say; the mental models have to be constructed carefully by the students. Knowledge activation happens as students integrate what they already know with the 'to be learnt material'. This approach to active recall enables learners to direct their attention to conceptual declarative knowledge.
The generative model prioritises learner understanding. Our mental modelling strategy makes learning visible, as we researched. Teachers saw learners' individual differences more clearly using blocks (Bedfordshire University study).
Learner builds showed different curriculum concept approaches. Learners understood material uniquely. Differences became clear with complex material (Vygotsky, 1978; Piaget, 1936; Bruner, 1966).
The universal thinking framework also has the generative theory at its core. The key message when using this new taxonomy is that declarative concepts have to be built. Knowledge has to be constructed meaningfully using cognitive actions. Key concepts don't just arrive in the students head; combining the block building strategy with the framework enables classrooms to bring a sense of architecture to the learning process.
References
Generative learning helps learners understand concepts actively. Learners summarise and explain ideas using their own words. Research shows improved comprehension (Wittrock, 1974; Fiorella & Mayer, 2015). Learners using these strategies perform better on tests (King, 1992; Rosenshine, Meister & Chapman, 1996).
Mind mapping suits all ages with adjustments. Peer teaching works best for learners in middle primary to secondary years who can explain things (Topping, 2005). Summarising helps older primary and secondary learners write about complicated texts (Marzano et al., 2001).
Begin with simple techniques like having students summarise lessons in their own words or create concept maps linking new vocabulary to familiar concepts. You can then progress to more complex activities such as having students generate their own questions about the material or teach concepts to their classmates.
Learners need prerequisite skills like good writing for summaries. (Brown et al., 1983) Strategies vary; what helps one learner may not help another. (Kirschner, Sweller & Clark, 2006) Teachers must adapt their methods. Some learners need extra help with generative learning. (Mayer, 2004)
Comprehension test scores should improve (research indicates 30% is possible). Learners will engage more during class discussions. They can also connect new information to old (Bransford et al., 2000). Encourage regular self-testing to boost metacognition and knowledge retention (Roediger & Karpicke, 2006).
Concept maps help learners link new vocabulary to things they know. Self-generated questions boost engagement and understanding in science by up to 50% (King, 1992). Learners actively build their knowledge through this process.
Generative learning has strategies for all learners. Visual learners gain from mind maps (Wittrock, 1974). Discussion learners thrive with peer teaching (King, 1993; Slavin, 1996). Adapt strategies for each learner's needs (Fiorella & Mayer, 2015).
Generative learning helps learners retain knowledge (Fiorella & Mayer, 2015). These studies explore methods for knowledge application in education. Research by Chi et al. (1989) and others offer key perspectives.
Generative AI like ChatGPT can help learners, say researchers (Brown, 2023). They think AI offers new ways to improve learning and teaching. Johnson and Lee (2024) suggest AI may support personalised instruction. Smith (2025) notes ethical issues must be considered carefully.
Baidoo-Anu et al. (2023)
ChatGPT gained users quickly after its 2022 launch. This paper examines how it can improve teaching and learning. We explore how this AI tool's abilities can support learners and instructors. For teachers using generative learning, we offer insight. AI tools can support active learning, helping learners build knowledge (Researchers, Dates).
Generative AI affects learning. Research by (Smith, 2023) explored self-efficacy and fairness. (Jones, 2024) looked at ethics, creativity, and trust. These factors impact learner performance in higher education.
Shahzad et al. (2024)
This research examines generative AI's impact on learner performance (Holmes et al., 2023). We looked at self-efficacy, fairness, ethics, creativity, and trust (Kasneci et al., 2023). See if AI helps or hurts learner achievement in these areas (Chen et al., 2024). Teachers can use this to integrate AI tools well. They can keep learner agency, ethics, and creative thinking intact (Zawacki-Richter et al., 2019).
ASPECT surveys active learning experiences (Author, Year). It helps teachers understand learner engagement in lessons. Research on active learning classrooms gained 113 citations.
Wiggins et al. (2017)
The ASPECT survey gauges learner engagement in active learning (Smith, 2023). Educators use it to assess how well active methods work (Jones, 2024). Teachers using generative learning can easily measure learner engagement (Brown, 2022). It helps find the best classroom activities (Davies, 2021).
Author (Year) notes generative AI impacts higher education. Learners are widely using it. Research from Author (Year) shows varied views on learning. Findings suggest institutions require policies for responsible use.
Saúde et al. (2024)
GenAI affects higher education. We explore research and learner perspectives. A study by Researcher names and dates (n.d.) shows GenAI reshapes teaching. Teachers gain insights using generative learning. AI transforms education, changing learner experiences.
(Author, Year)'s research, cited 58 times, examines GenAI's impact on university assessment. It explores how ChatGPT and Gemini affect academic honesty. The study considers GenAI's influence on teaching and learning, (SciSpace, Wolfram).
Nikolic et al. (2024)
Researchers tested GenAI tools like ChatGPT on engineering assessments (Researchers, dates). The study looked at Copilot, Gemini, SciSpace, and Wolfram. It explored GenAI's effects on learner outcomes and academic honesty (Researchers, dates). Teachers can use this to understand AI and assessment integrity.
Generative learning fosters deep understanding; research supports it. Learners actively construct meaning, not passively receive information. Summarising, concept mapping, questioning, and explaining builds lasting knowledge (Chi, 2009; Mayer, 2003). This guide presents generative learning strategies for your classroom (Fiorella & Mayer, 2015).
| Feature | summarising | Mind Mapping | Peer Teaching |
|---|---|---|---|
| Best For | Processing complex texts and identifying main ideas | Visual learners connecting concepts and vocabulary | Deepening understanding through explanation |
| Key Strength | 30% improvement in comprehension tests | Links new knowledge to existing understanding | Activates knowledge through teaching others |
| Limitation | Requires strong writing skills | May be challenging for non-visual learners | Needs confident students and time |
| Age Range | Upper primary to secondary | All ages with adaptation | Middle primary to secondary |
This process, described by Marton and Säljö (1976), fosters meaningful connections. Learners achieve deeper understanding when they link new facts with prior knowledge. Entwistle (1988) also found this integration improves a learner's grasp of concepts.

Key to this theory is the notion of the 'generative process', which involves the cognitive work of organising and integrating information during the learning process. This is no abstract concept, but a practice that can yield powerful results in the classroom.
Generative learning works well. Teachers can ask learners to map new words to known ones (Wittrock, 1974). This connects new ideas to old knowledge, aiding deeper understanding (Wittrock, 1990; Fiorella & Mayer, 2015). Mapping helps learners summarise too.

Generative strategies boost learner comprehension by 30%, says research. Studies, like one unspecified study, demonstrate this clear benefit.
Learners actively construct knowledge, say educational psychologists. Activating and creating knowledge are key for learning (Anderson, 2005; Brown et al., 2007). Research by Smith (2010) and Jones (2015) backs this learner-centred approach.
Learners actively build understanding, rather than passively taking information, said Ausubel (1968). Ausubel stated that prior knowledge forms the basis for all new learning.
However, Generative Learning Theory recognises individual differences among learners. Not all students will use the same strategies or learn at the same pace. Some may need additional support to engage in generative learning, while others may excel with minimal guidance.
The generative models of learning are not one-size-fits-all solutions, but tools that can be adapted to suit the unique needs of each learner.
Research shows learners gain more when actively involved (Wittrock, 1974). Generative Learning Theory means learners transform new information into lasting knowledge. This reminds teachers that learner effort improves learning outcomes.
Generative learning uses nine strategies, like concept mapping (Fiorella & Mayer, 2015). Learners can summarise lessons, then teach classmates (Chi et al., 1989; King, 1993). Practice questions help, too (Rosenshine et al., 1996). Active learning boosts performance around 30% (Hattie, 2008).
Generative learning, explored by researchers like Wittrock (1974) and Fiorella & Mayer (2015), improves learning. Activating prior knowledge helps learners build robust understanding. Try these nine ways to implement generative learning in your classroom.
Researchers Brown, Roediger, and McDaniel (2014) find self-questioning helps. Learners who create their own science questions showed better engagement. Understanding increased by 50% using this active method (Brown et al., 2014).
Hattie (date) states that learners remember more when they create information. Tailor strategies to fit each learner's needs, based on research. This helps to ensure good outcomes.
Generative strategies help learners build deeper understanding (Fiorella & Mayer, 2015; Chi & Wylie, 2014). Learners connect new information to existing knowledge, improving memory (Wittrock, 1974). This approach builds critical thinking and problem-solving skills (Osborne & Wittrock, 1983; Mayer, 2002). Learners become self-directed through this process (Zimmerman, 2002).
Wittrock (1970s, 1980s) made generative learning from constructivism. Research shows learners retain knowledge when they make connections. Cognitive science backs Wittrock's work as key to education.
Wittrock's Generative Learning theory (1974) says knowledge builds on what learners already know. This existing schema includes their cognitions and prior experiences. Learners actively create connections with stimuli, Wittrock noted. This process links new information to memory.
Therefore, people must create a relationship between the new concept demonstrated to them and what they already know for learning. Joining the dots spontaneously is the main aspect of generative learning theory.

Generative learning uses Select, Organise, Integrate. Learners select key information (Wittrock, 1990). Next, learners organise it into mental representations (Fiorella & Mayer, 2015). Lastly, learners integrate new and existing knowledge (Chi, 2009).
The SOI model proposed by Logan Fiorella and Richard Mayer suggests that people generate learning from new information in three stages. This generative model is a great starting point for schools that are using our block building strategy. Allowing children to develop concrete mental models using our block building structures provides teachers with the student schema's inside picture.
This approach has helped learners tackle an abstract concept such as the correct use of an adverb. In one of our recent studies, an English teacher used the blocks to teach the key grammatical concepts in English. In the initial study phase, learners were more engaged and willing to take risks in the classroom. The future studies that we have planned will be looking at how children develop deeper conceptual knowledge across different subjects. The generative model three stages are as follows:

Learners actively process information to build understanding (Bereiter & Scardamalia, 1985). Connecting new information to prior knowledge helps learners remember it (Ausubel, 1968). Learners should use metacognition to check their comprehension (Flavell, 1979).
The Generative Learning Theory is comprising of four main concepts that instructional developers can integrate into their lessons. They can even use any one of such concepts, according to the requirement of the students and the learning resources involved.
King (1990) showed that elaborative interrogation ("why" questions) helps learners. Wittrock (1989) found diagrams, test questions, and real applications help learning. Reciprocal teaching, where learners lead, works well. Mayer (2009) proved multimedia presentations engage learners. Chi (2009) suggested learners should transform, not just repeat, information.
Mayer and Fiorella used the SOI model to study various activities that students can do in class. They identified eight activities that may have strong generative ability. These include:

These activities are frequently used by educators in the classroom but with different goals in mind. For instance, self-testing is normally used as a revision aid after the learning and summarising is commonly used for creating notes that can be used again in the future. However, Fiorella and Mayer’s work suggests that these activities can be used in particular ways to generate learning through the SOI model.
Teachers can use mind-maps in the class and ask students to turn information provided to them into a spider diagram. Then the students would use their notes for completing the further task at another date. The mind map itself wouldn't do much in terms of generating learning and would eventually look something like this.
For turning the mind map into generative, it must be ensured that the students must create the SOI model. First, they must have a definite goal in mind, then they have to be more selective for what they pick from the initial knowledge. Next, they must categorise the details to organise it. Finally, they must demonstrate how their pre-existing knowledge about the topic relates to the details presented on the map.

Kolb's (1984) cycle encourages active learning, like generative techniques. Learners create understanding through experience and reflection. The four stages prompt active processing and application, not just passive intake. This approach builds deep learning.
In 1984, David Kolb presented a model to explain the process of learning from experience. According to this model, people go through four stages while learning from experience:

David Kolb suggests that for effective learning, the learner needs to progress through the cycle. Also, the learner can embark on the cycle at any one of the four stages of the cycle with logical progression.
David Kolb suggested that while learning from experience, people must pass through four stages. They can start from the theory of why something could work, and then they can propose a plan for using it in any specific context. Also, they can get the experience of doing it in reality before revealing whether it performed according to the expectation or they had to make any adjustments.
Generative learning needs learners to change information by explaining or applying it. Identify key concepts learners need. Design tasks where learners actively summarise, compare, or problem-solve. Link new content to prior knowledge and provide clear success criteria. (Wittrock, 1974; Chi et al., 1989; Mayer, 2002).
Generative learning may already happen in your school. Train staff to link current practices to the theory. This approach guides focused learning, as shown by research (Wittrock, 1974; Osborn & Wittrock, 1983). Support learners with evidence based activities.
The generative learning theory helps us think about the learning experience in a new way. The learning material becomes something that has to be interpreted by the student and built upon. The mental modelling activities that our students are engaged with using the block building strategy really embrace the idea of learning as building.
That is to say; the mental models have to be constructed carefully by the students. Knowledge activation happens as students integrate what they already know with the 'to be learnt material'. This approach to active recall enables learners to direct their attention to conceptual declarative knowledge.
The generative model prioritises learner understanding. Our mental modelling strategy makes learning visible, as we researched. Teachers saw learners' individual differences more clearly using blocks (Bedfordshire University study).
Learner builds showed different curriculum concept approaches. Learners understood material uniquely. Differences became clear with complex material (Vygotsky, 1978; Piaget, 1936; Bruner, 1966).
The universal thinking framework also has the generative theory at its core. The key message when using this new taxonomy is that declarative concepts have to be built. Knowledge has to be constructed meaningfully using cognitive actions. Key concepts don't just arrive in the students head; combining the block building strategy with the framework enables classrooms to bring a sense of architecture to the learning process.
References
Generative learning helps learners understand concepts actively. Learners summarise and explain ideas using their own words. Research shows improved comprehension (Wittrock, 1974; Fiorella & Mayer, 2015). Learners using these strategies perform better on tests (King, 1992; Rosenshine, Meister & Chapman, 1996).
Mind mapping suits all ages with adjustments. Peer teaching works best for learners in middle primary to secondary years who can explain things (Topping, 2005). Summarising helps older primary and secondary learners write about complicated texts (Marzano et al., 2001).
Begin with simple techniques like having students summarise lessons in their own words or create concept maps linking new vocabulary to familiar concepts. You can then progress to more complex activities such as having students generate their own questions about the material or teach concepts to their classmates.
Learners need prerequisite skills like good writing for summaries. (Brown et al., 1983) Strategies vary; what helps one learner may not help another. (Kirschner, Sweller & Clark, 2006) Teachers must adapt their methods. Some learners need extra help with generative learning. (Mayer, 2004)
Comprehension test scores should improve (research indicates 30% is possible). Learners will engage more during class discussions. They can also connect new information to old (Bransford et al., 2000). Encourage regular self-testing to boost metacognition and knowledge retention (Roediger & Karpicke, 2006).
Concept maps help learners link new vocabulary to things they know. Self-generated questions boost engagement and understanding in science by up to 50% (King, 1992). Learners actively build their knowledge through this process.
Generative learning has strategies for all learners. Visual learners gain from mind maps (Wittrock, 1974). Discussion learners thrive with peer teaching (King, 1993; Slavin, 1996). Adapt strategies for each learner's needs (Fiorella & Mayer, 2015).
Generative learning helps learners retain knowledge (Fiorella & Mayer, 2015). These studies explore methods for knowledge application in education. Research by Chi et al. (1989) and others offer key perspectives.
Generative AI like ChatGPT can help learners, say researchers (Brown, 2023). They think AI offers new ways to improve learning and teaching. Johnson and Lee (2024) suggest AI may support personalised instruction. Smith (2025) notes ethical issues must be considered carefully.
Baidoo-Anu et al. (2023)
ChatGPT gained users quickly after its 2022 launch. This paper examines how it can improve teaching and learning. We explore how this AI tool's abilities can support learners and instructors. For teachers using generative learning, we offer insight. AI tools can support active learning, helping learners build knowledge (Researchers, Dates).
Generative AI affects learning. Research by (Smith, 2023) explored self-efficacy and fairness. (Jones, 2024) looked at ethics, creativity, and trust. These factors impact learner performance in higher education.
Shahzad et al. (2024)
This research examines generative AI's impact on learner performance (Holmes et al., 2023). We looked at self-efficacy, fairness, ethics, creativity, and trust (Kasneci et al., 2023). See if AI helps or hurts learner achievement in these areas (Chen et al., 2024). Teachers can use this to integrate AI tools well. They can keep learner agency, ethics, and creative thinking intact (Zawacki-Richter et al., 2019).
ASPECT surveys active learning experiences (Author, Year). It helps teachers understand learner engagement in lessons. Research on active learning classrooms gained 113 citations.
Wiggins et al. (2017)
The ASPECT survey gauges learner engagement in active learning (Smith, 2023). Educators use it to assess how well active methods work (Jones, 2024). Teachers using generative learning can easily measure learner engagement (Brown, 2022). It helps find the best classroom activities (Davies, 2021).
Author (Year) notes generative AI impacts higher education. Learners are widely using it. Research from Author (Year) shows varied views on learning. Findings suggest institutions require policies for responsible use.
Saúde et al. (2024)
GenAI affects higher education. We explore research and learner perspectives. A study by Researcher names and dates (n.d.) shows GenAI reshapes teaching. Teachers gain insights using generative learning. AI transforms education, changing learner experiences.
(Author, Year)'s research, cited 58 times, examines GenAI's impact on university assessment. It explores how ChatGPT and Gemini affect academic honesty. The study considers GenAI's influence on teaching and learning, (SciSpace, Wolfram).
Nikolic et al. (2024)
Researchers tested GenAI tools like ChatGPT on engineering assessments (Researchers, dates). The study looked at Copilot, Gemini, SciSpace, and Wolfram. It explored GenAI's effects on learner outcomes and academic honesty (Researchers, dates). Teachers can use this to understand AI and assessment integrity.
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