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Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
Julius Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Instructional Science: An International Journal of the Learning Sciences, 2024
Self-explanation prompts in example-based learning are usually directed backwards: Learners are required to self-explain problem-solving steps just presented ("retrospective" prompts). However, it might also help to self-explain upcoming steps ("anticipatory" prompts). The effects of the prompt type may differ for learners with…
Descriptors: Problem Based Learning, Problem Solving, Prompting, Models
Chun-Ying Chen – ACM Transactions on Computing Education, 2025
This study examined the effects of worked examples with different explanation types and novices' motivation on cognitive load, and how this subsequently influenced their programming problem-solving performance. Given the study's emphasis on both instructional approaches and learner motivation, the Cognitive Theory of Multimedia Learning served as…
Descriptors: Models, Learning Motivation, Cognitive Processes, Difficulty Level
Jionghao Lin; Shaveen Singh; Lela Sha; Wei Tan; David Lang; Dragan Gasevic; Guanliang Chen – Grantee Submission, 2022
To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Dialogs (Language), Man Machine Systems
Frerejean, J.; van Strien, J. L. H.; Kirschner, P. A.; Brand-Gruwel, S. – Journal of Computer Assisted Learning, 2018
Although students often appear to be skilled in retrieving and making use of information from the internet, research shows that their information problem solving skills are overestimated. They show deficiencies in many of the necessary skills, such as generation of search terms, selection of sources, and critical processing of information. It is…
Descriptors: Problem Solving, Problem Based Learning, Skill Development, Training
Yakubova, Gulnoza; Hughes, Elizabeth M.; Baer, Briella L. – Preventing School Failure, 2020
With the increasing attention and surge of empirical research in providing academic instruction for students with autism spectrum disorder (ASD) comes the need to provide teachers with research-supported strategies. Using one evidence-based strategy for teaching mathematics to students with high incidence disabilities, and another for teaching…
Descriptors: Autism, Pervasive Developmental Disorders, Video Technology, Mathematics Instruction
Booth, Julie L.; McGinn, Kelly M.; Young, Laura K.; Barbieri, Christina – Grantee Submission, 2015
Findings from the fields of cognitive science and cognitive development propose a variety of evidence-based principles for improving learning. One such recommendation is that instead of having students practice solving long strings of problems on their own after a lesson, worked-out examples of problem solutions should be incorporated into…
Descriptors: STEM Education, Problem Solving, Models, Textbooks
Sadaf, Ayesha; Olesova, Larisa – American Journal of Distance Education, 2017
The researchers in this study examined the influence of questions designed with the Practical Inquiry Model (PIM), compared with the regular (playground) questions, on students' levels of cognitive presence in online discussions. Students' discussion postings were collected and categorized according to the four levels of cognitive presence:…
Descriptors: Graduate Students, Masters Programs, Cognitive Processes, Web Based Instruction
Kim, H. S.; Prevost, L.; Lemons, P. P. – Journal of Computer Assisted Learning, 2015
The understanding of core concepts and processes of science in solving problems is important to successful learning in biology. We have designed and developed a Web-based, self-directed tutorial program, "SOLVEIT," that provides various scaffolds (e.g., prompts, expert models, visual guidance) to help college students enhance their…
Descriptors: Biology, College Science, Scientific Concepts, Web Based Instruction
Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
Peer reviewedBrainerd, C. J.; Reyna, V. F. – Developmental Psychology, 1988
Data were generally consistent with the view that preschoolers and elementary schoolers can respond to memory probes by applying arithmetical processing to running gist from recently solved problems. Discussed are two competing interpretations of the development of working memory: fuzzy-trace theory and the generic-resources hypothesis. (Author/RH)
Descriptors: Cognitive Development, Cognitive Processes, Mental Computation, Models
Ferraioli, Suzannah; Hughes, Carrie; Smith, Tristram – Journal of Early and Intensive Behavior Intervention, 2005
Discrete trial training (DTT) is a well-established intervention for teaching skills to children with autism; however, few published guidelines are available for determining whether a child's rate of learning a particular skill is satisfactory and, if not, what to do. We assert that progress within 8-10 teaching sessions usually is evidence of…
Descriptors: Autism, Flow Charts, Problem Solving, Teaching Skills

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