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Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
Hamouda, Sally; Edwards, Stephen H.; Elmongui, Hicham G.; Ernst, Jeremy V.; Shaffer, Clifford A. – Computer Science Education, 2020
Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…
Descriptors: Computer Science Education, Programming, Coding, Student Attitudes
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
Syed, M. Qasim – Journal of College Teaching & Learning, 2015
Students in first-year physics courses generally focus on hunting for suitable equations and formulas when tackling a variety of physical situations and physics problems. There is a need for a framework that can guide them to disciplinary ways of thinking and help them begin to think like physicists. To serve this end, in this study, a framework…
Descriptors: Physics, Science Instruction, Engineering Education, Energy
Xu, Cuiqin; Qi, Yan – Educational Technology & Society, 2017
Using computer keystroke logs, this study investigated how writing skill affected L2 writers' pausing patterns to gain insights into their management of the cognitive writing processes. The 59 participants, 29 in the more-skilled group and 30 in the less-skilled group, were recruited from a college English course at a key Chinese university. The…
Descriptors: Computer Assisted Instruction, Writing Instruction, Second Language Instruction, English (Second Language)
Sadeghi, Karim; Mosalli, Zahra – Iranian Journal of Language Teaching Research, 2013
Based on Robinson's (2005) Cognition Hypothesis and Skehan and Foster's (2001) Limited Attentional Capacity Model, the current study attempted to investigate the effect of manipulating task complexity on argumentative writing quality in terms of lexical complexity, fluency, grammatical accuracy, and syntactic complexity. Task complexity was…
Descriptors: Persuasive Discourse, Writing (Composition), College Students, Comparative Analysis
Fulmer, Gavin W.; Liang, Ling L.; Liu, Xiufeng – International Journal of Science Education, 2014
This exploratory study applied a proposed force and motion learning progression (LP) to high-school and university students and to content involving both one- and two-dimensional force and motion situations. The Force Concept Inventory (FCI) was adapted, based on a previous content analysis and coding of the questions in the FCI in terms of the…
Descriptors: Secondary School Science, High School Students, College Science, College Students
Ash, Ivan K.; Jee, Benjamin D.; Wiley, Jennifer – Journal of Problem Solving, 2012
Gestalt psychologists proposed two distinct learning mechanisms. Associative learning occurs gradually through the repeated co-occurrence of external stimuli or memories. Insight learning occurs suddenly when people discover new relationships within their prior knowledge as a result of reasoning or problem solving processes that re-organize or…
Descriptors: Intuition, Learning Processes, Metacognition, Associative Learning
Renumol, V. G.; Janakiram, Dharanipragada; Jayaprakash, S. – ACM Transactions on Computing Education, 2010
Identifying the set of cognitive processes (CPs) a student can go through during computer programming is an interesting research problem. It can provide a better understanding of the human aspects in computer programming process and can also contribute to the computer programming education in general. The study identified the presence of a set of…
Descriptors: Protocol Analysis, Classification, Cognitive Processes, Thinking Skills
Schroeder, Noah L.; Adesope, Olusola O.; Gilbert, Rachel Barouch – Journal of Educational Computing Research, 2013
Research on the use of software programs and tools such as pedagogical agents has peaked over the last decade. Pedagogical agents are on-screen characters that facilitate instruction. This meta-analysis examined the effect of using pedagogical agents on learning by reviewing 43 studies involving 3,088 participants. Analysis of the results…
Descriptors: Meta Analysis, Cybernetics, Artificial Intelligence, Technology Uses in Education
Lin, Lijia; Atkinson, Robert K. – Journal of Educational Computing Research, 2013
The purpose of the two experiments was to investigate the potential effects of different types of visualizations and self-explanation prompts on learning human cardiovascular system in a multimedia environment. In Experiments 1 and 2, 70 and 44 college students were randomly assigned to one of the four conditions in a 2 × 2 factorial design with…
Descriptors: Educational Experiments, Visualization, Prompting, Human Body

Falk, Ruma; Konold, Clifford – Psychological Review, 1997
Results of three studies, involving 606 high school and college students, show that the perceived randomness of a sequence is better predicted by its encoding difficulty than its objective randomness. Results imply that judging the extent of randomness of a sequence is based on the attempt to encode it. (SLD)
Descriptors: Coding, College Students, Decision Making, Difficulty Level