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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Yuanyuan Hu; Pieter Wouters; Marieke van der Schaaf; Liesbeth Kester – British Journal of Educational Technology, 2025
Learning with games requires two types of information, namely domain-specific information and game-specific information. Presenting these two types of information together with gameplay may pose a heavy demand on cognitive resources. This study investigates how timing of information presentation affects cognition (ie, mental effort and…
Descriptors: Game Based Learning, Secondary School Students, Chemistry, Schemata (Cognition)
Tsangaridou, Niki; Pieroua, Mikaela; Charalambous, Charalambos Y. – European Physical Education Review, 2023
In recent years, attention has been placed on dimensions of instructional quality. One critical element of this quality in preschool physical education (PE) is teachers' ability to present content in a way that facilitates learning. This study aimed to describe the development of the content in PE in preschool. Participants in the study were 11…
Descriptors: Content Analysis, Curriculum Development, Physical Education, Preschool Teachers
Philippine Geelhand; Fanny Papastamou; Solène Jaspard; Mikhail Kissine – Autism: The International Journal of Research and Practice, 2025
Recent accounts of social difficulties in autism suggest that autistic and non-autistic individuals mutually misunderstand each other. This assumption aligns with findings that mixed-neurotype interactions are less efficient than same-neurotype interactions. However, it remains unclear whether different outcomes between mixed- and same-neurotype…
Descriptors: Adults, Autism Spectrum Disorders, Verbal Communication, Oral Language
Hazrat, Mandana; Read, John – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2022
The Involvement Load Hypothesis (ILH) is a framework for designing vocabulary-learning tasks which was proposed by Batia Laufer and Jan Hulstijn in 2001. It assumes that task effectiveness depends on three components induced by a task: a motivational component (need) and two cognitive components (search and evaluation). The hypothesis has been…
Descriptors: Linguistic Theory, Vocabulary Development, Language Research, Evidence
Chen, Pei-Yu; Scheibel, Gretchen A.; Henley, Vanessa M.; Wills, Howard P. – Journal of Positive Behavior Interventions, 2022
Middle school students with social and behavioral concerns need additional support. The current study investigated the effects of Class-Wide Function-related intervention teams adapted for middle school contexts (CW-FIT MS) and self-management (SM) in a sixth-grade reading class. CW-FIT MS was implemented, subsequently, for students with data…
Descriptors: Positive Behavior Supports, Middle School Students, Grade 6, Reading Instruction
Min Gao; Jiancheng Qian; Ushba Rasool – SAGE Open, 2024
This study investigates the impact of task-induced involvement and time on task on incidental second language (L2) vocabulary acquisition. Utilizing a 3 (task-induced involvement) × 2 (time on task) × 2 (post-test time) research design, three task-induced involvement conditions were employed based on the Involvement Load Hypothesis (ILH): reading…
Descriptors: Time on Task, Incidental Learning, Task Analysis, Correlation
Çakiroglu, Ünal; Aksoy, Dilara Arzugül; Gencan, Aysegül; Sen, Hasan – International Journal of Learning Technology, 2022
This study aims to determine the relationships between mental effort and the use of learner controls while working with instructional software. Various versions of instructional software including control components were developed to examine this relationship. Twenty-four secondary school students participated in the study and studied with…
Descriptors: Cognitive Processes, Time on Task, Computer Software, Teaching Methods
Pastushenkov, Dmitrii; Camp, Cameron; Zhuchenko, Iryna; Pavlenko, Olesia – TESOL Journal, 2021
In this study, the researchers investigated the effects of shared and different first language (L1) background, L1 use amounts, and peer familiarity on the frequency of language-related episodes (LREs) and task scores in interactive pair work. By exploring these variables in distinct interactions, the authors attempted to obtain a more…
Descriptors: Native Language, Second Language Learning, English (Second Language), Task Analysis
Godwin, Karrie E.; Seltman, Howard; Almeda, Ma; Davis Skerbetz, Mandi; Kai, Shimin; Baker, Ryan S.; Fisher, Anna V. – Educational Psychology, 2021
According to the time on-task hypothesis, the amount of time an individual devotes to an instructional task determines the extent to which learning occurs. Therefore, time off-task hampers learning by limiting learning opportunities. Prior research has generally found a positive relationship between time on-task and achievement; however, the…
Descriptors: Time on Task, Attention, Task Analysis, Correlation
Bratzke, Daniel; Bryce, Donna – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Previous studies have provided evidence that introspection about dual-task performance in the psychological refractory period (PRP) paradigm is severely limited. The present study investigated introspection at the other pole of the multitasking continuum, namely task switching. In 2 experiments, participants provided estimates of their response…
Descriptors: Reflection, Metacognition, Time Management, Time on Task
Hahnel, Carolin; Goldhammer, Frank; Kroehne, Ulf; Mahlow, Nina; Artelt, Cordula; Schoor, Cornelia – Studies in Higher Education, 2021
The study investigates automated and controlled cognitive processes that occur when university students read multiple documents (MDs). We examined data of 401 students dealing with two MD sets in a digital environment. Performance was assessed through several comprehension questions. Recorded log data gave indications about students' time…
Descriptors: Automation, Reading Comprehension, Cognitive Processes, College Students
Taylor, Christa L.; Kaufman, James C.; Barbot, Baptiste – Journal of Creative Behavior, 2021
The present study examines effort in narrative creative writing (operationalized as time-on-task) using a new assessment approach, the storyboard task. Participants (N = 125) completed alternate forms of the storyboard task in two sessions five weeks apart. They also completed measures of divergent thinking and self-reported ideational behavior.…
Descriptors: Creative Writing, Writing Evaluation, Evaluation Methods, Story Telling
He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier – Journal of Computer Assisted Learning, 2023
Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…
Descriptors: Data Analysis, Reading Processes, Task Analysis, Time on Task
Tacoma, Sietske; Heeren, Bastiaan; Jeuring, Johan; Drijvers, Paul – International Journal of Artificial Intelligence in Education, 2020
Hypothesis testing involves a complex stepwise procedure that is challenging for many students in introductory university statistics courses. In this paper we assess how feedback from an Intelligent Tutoring System can address the logic of hypothesis testing and whether such feedback contributes to first-year social sciences students' proficiency…
Descriptors: Hypothesis Testing, Feedback (Response), Intelligent Tutoring Systems, Introductory Courses