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Vitta, Joseph P.; Nicklin, Christopher; Albright, Simon W. – Modern Language Journal, 2023
This article presents a conceptual replication of Hashimoto and Egbert (https://doi.org/10.1111/lang.12353), a study that featured multivariate models where lexical sophistication variables accounted for word difficulty (yes-no recognition) better than frequency alone among learners of English as a second or foreign language from North America.…
Descriptors: Word Recognition, Difficulty Level, English for Academic Purposes, Academic Language
Lange, Christopher; Gorbunova, Anna; Shcheglova, Irina; Costley, Jamie – Innovations in Education and Teaching International, 2023
Research often examines cognitive load as it relates to direct instruction, worked examples and problem-solving combined as an integrated whole. The present study examines these strategies in isolation to see their effect on cognitive load. Using learning materials covering the basics of critical thinking to undergraduate law students (n = 160) at…
Descriptors: Direct Instruction, Problem Solving, Educational Strategies, Cognitive Processes
Jin, Kuan-Yu; Siu, Wai-Lok; Huang, Xiaoting – Journal of Educational Measurement, 2022
Multiple-choice (MC) items are widely used in educational tests. Distractor analysis, an important procedure for checking the utility of response options within an MC item, can be readily implemented in the framework of item response theory (IRT). Although random guessing is a popular behavior of test-takers when answering MC items, none of the…
Descriptors: Guessing (Tests), Multiple Choice Tests, Item Response Theory, Attention
Toukiloglou, Pavlos; Xinogalos, Stelios – Journal of Educational Computing Research, 2022
Serious games are considered an effective method to engage students in programming education and have been increasingly used in classrooms. An important part of the learning process with serious games involves the presentation of the new concepts and the provided support to encounter student difficulties. Although the most common approach is the…
Descriptors: Game Based Learning, Programming, Program Effectiveness, Educational Games
Qi Huang; Daniel M. Bolt; Weicong Lyu – Large-scale Assessments in Education, 2024
Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…
Descriptors: Test Items, Item Response Theory, Test Bias, Test Validity
DeCarlo, Lawrence T. – Journal of Educational Measurement, 2021
In a signal detection theory (SDT) approach to multiple choice exams, examinees are viewed as choosing, for each item, the alternative that is perceived as being the most plausible, with perceived plausibility depending in part on whether or not an item is known. The SDT model is a process model and provides measures of item difficulty, item…
Descriptors: Perception, Bias, Theories, Test Items
Pei Wang – International Journal of Information and Communication Technology Education, 2024
In today's university era, reforming the English teaching model has become a major research topic for researchers. Based on this, this paper adopts a hierarchical and progressive model construction method to further explore the reform model of university English teaching in the context of educational ecology. First, this paper discusses the…
Descriptors: English (Second Language), Second Language Instruction, Educational Change, Change Strategies
Mustu, Özlem Eryilmaz – International Journal of Progressive Education, 2021
Concept maps are used to assess and improve prospective teachers' conceptual understanding levels. In this research, the aim was to describe prospective science teachers' conceptual understanding of the atom by using concept maps. The research employed the case study approach, one of the qualitative research patterns. The research group consisted…
Descriptors: Preservice Teachers, College Seniors, Science Education, Nuclear Physics
Hodge, Brad; Wright, Brad; Bennett, Pauleen – Journal of Further and Higher Education, 2019
Despite the fact that both workplace and training environments can be inherently demanding, these environments sometimes manage to elicit a level of engagement and enthusiasm that is surprising. The Job Demands-Resources (JD-R) model has been used extensively within the workplace to predict both engagement and burnout. It suggests that high…
Descriptors: Learner Engagement, Burnout, Training, College Students
Gilissen, Melde G. R.; Knippels, Marie-Christine P. J.; van Joolingen, Wouter R. – CBE - Life Sciences Education, 2021
The main aim of this study is to teach students to take a systems perspective in understanding complex biological problems. Two lessons were designed and tested in two secondary classes (15- to 16-year-old students), using a lesson study approach. Three students from each class were observed more closely when visualizing and reasoning about two…
Descriptors: Difficulty Level, Scientific Concepts, Concept Formation, Systems Approach
Venant, Rémi; d'Aquin, Mathieu – International Educational Data Mining Society, 2019
The evaluation of text complexity is an important topic in education. While this objective has been addressed by approaches using lexical and syntactic analysis for decades, semantic complexity is less common, and the recent research works that tackle this question rely on machine learning algorithms that are hardly explainable and are not…
Descriptors: Semantics, Difficulty Level, Concept Mapping, Graphs
Ait-Adda, Samia; Bousbia, Nabila; Balla, Amar – E-Learning and Digital Media, 2023
Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…
Descriptors: Semantics, Learning Processes, Learning Analytics, Models
Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
Wang, Danni; Hou, Zhi-Jin; Ni, Jing; Tian, Lu; Zhang, Xin; Chi, Hao-Yang; Zhao, Adam – Journal of Career Development, 2020
This study investigated categorization of perfectionism subtypes for Chinese undergraduates and the effects of perfectionism subtypes on career outcomes based on two prominent, competing models of perfectionism, the tripartite model and 2 × 2 model. Indices of career outcome were defined with career adaptability (positive) and career…
Descriptors: Personality Problems, Decision Making, Career Choice, Undergraduate Students
Azhar, Aqil Zainal; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2022
This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of online learning materials to students. Our approach provides an end to end pipeline for automatically deriving and evaluating robust representations of students' interactions and policies for content sequencing in online educational settings. We…
Descriptors: Reinforcement, Instructional Materials, Learning Analytics, Policy Analysis