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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
Ulrike Franke; Iris Backfisch; Luisa Scherzinger; Arash Tolou; Christoph Thyssen; Taiga Brahm; Ina Rudolf; Andreas Lachner – Educational Technology Research and Development, 2024
Peer feedback is regarded as playing a vital role in fostering preservice teachers' noticing and reasoning skills during technology integration. However, novices in particular (e.g., pre-service teachers) tend to provide rather superficial feedback, which does not necessarily contribute to professional development. Against this background, we…
Descriptors: Preservice Teacher Education, Preservice Teachers, Peer Evaluation, Prompting
Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
Hiller, Sara; Rumann, Stefan; Berthold, Kirsten; Roelle, Julian – Instructional Science: An International Journal of the Learning Sciences, 2020
In learning from examples, students are often first provided with basic instructional explanations of new principles and concepts and second with examples thereof. In this sequence, it is important that learners self-explain by generating links between the basic instructional explanations' content and the examples. Therefore, it is well…
Descriptors: Problem Solving, Test Format, Prompting, Learning Strategies
Hadfield, KimberLeigh Felix – Teaching Statistics: An International Journal for Teachers, 2021
Undergraduate students tend to struggle with probability in their introductory statistics course. Probability problem solving requires several steps. First, students must make sense of the probability scenario, then determine the appropriate probability rules, and finally, execute the procedures to solve the problem. With no previous exposure to…
Descriptors: Undergraduate Students, Probability, Statistics, Introductory Courses
Bisra, Kiran; Liu, Qing; Nesbit, John C.; Salimi, Farimah; Winne, Philip H. – Educational Psychology Review, 2018
Self-explanation is a process by which learners generate inferences about causal connections or conceptual relationships. A meta-analysis was conducted on research that investigated learning outcomes for participants who received self-explanation prompts while studying or solving problems. Our systematic search of relevant bibliographic databases…
Descriptors: Learning Strategies, Cognitive Processes, Inferences, Prompting
Veerbeek, Jochanan; Vogelaar, Bart; Verhaegh, Janneke; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2019
Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and posttest) to investigate children's task solving…
Descriptors: Young Children, Pretests Posttests, Problem Solving, Outcomes of Education
Downton, Ann; Sullivan, Peter – Educational Studies in Mathematics, 2017
While the general planning advice offered to mathematics teachers seems to be to start with simple examples and build complexity progressively, the research reported in this article is a contribution to the body of literature that argues the reverse. That is, posing of appropriately complex tasks may actually prompt the use of more sophisticated…
Descriptors: Problem Solving, Mathematical Aptitude, Mathematics Skills, Difficulty Level
Hua, Youjia; Woods-Groves, Suzanne; Kaldenberg, Erica R.; Lucas, Kristin G.; Therrien, William J. – Education and Training in Autism and Developmental Disabilities, 2015
The purpose of the study was to investigate the effectiveness of teaching a three-step cognitive strategy (TIP) using the schema broadening procedures on functional mathematical problem solving skills of young adults with intellectual disability (ID). We randomly assigned 14 learners with ID to the control and experimental group before the…
Descriptors: Instructional Effectiveness, Mathematics Instruction, Problem Solving, Mental Retardation
Kwon, Kyungbin; Kumalasari, Christiana D.; Howland, Jane L. – Journal of Interactive Online Learning, 2011
This study examined the effects of self-explanation prompts on problem-solving performance. In total, 47 students were recruited and trained to debug web-program code in an online learning environment. Students in an open self-explanation group were asked to explain the problem cases to themselves, whereas a complete other-explanation group was…
Descriptors: College Students, Problem Solving, Learning Strategies, Electronic Learning
Stein, Mary Kay; Smith, Margaret – National Council of Teachers of Mathematics, 2011
Learn the 5 practices for facilitating effective inquiry-oriented classrooms: (1) Anticipating what students will do--what strategies they will use--in solving a problem; (2) Monitoring their work as they approach the problem in class; (3) Selecting students whose strategies are worth discussing in class; (4) Sequencing those students'…
Descriptors: Faculty Development, Mathematics Instruction, Teaching Methods, Inquiry
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
Chen, Ching-Huei – Computers & Education, 2010
This study examined how web-based integration and procedure question prompts differentially affected students' knowledge acquisition and ill-structured problem solving skills, particularly in representing problem(s), developing solutions, and monitoring and evaluating a plan of action within the social science context. Eighty-four undergraduate…
Descriptors: Social Sciences, Problem Solving, Internet, Undergraduate Students
MacArthur, Charles A.; Philippakos, Zoi – Exceptional Children, 2010
Students learned a strategy for planning, writing, and evaluating compare-contrast essays. Instruction followed the principles of self-regulated strategy development, which aims to improve knowledge about writing, strategic writing processes, self-regulation, and motivation. Six adolescent students, 3 with learning disabilities in writing and 3…
Descriptors: Text Structure, Self Efficacy, Learning Disabilities, Writing Processes
Mayer, Richard E.; Johnson, Cheryl I. – Journal of Educational Computing Research, 2010
Students learned about electrical circuits in an arcade-type game consisting of 10 levels. For example, in one level students saw two circuits consisting of various batteries and resistors connected in series or parallel, and had to indicate which one had a higher rate of moving current. On levels 1-9, all students received a correct tone and had…
Descriptors: Feedback (Response), Educational Games, Experiential Learning, Science Instruction
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