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Krüger, Johanna T.; Höffler, Tim N.; Wahl, Martin; Knickmeier, Katrin; Parchmann, Ilka – Instructional Science: An International Journal of the Learning Sciences, 2022
Interactive computer simulations and hands-on experiments are important teaching methods in modern science education. Especially for the communication of complex current topics with social relevance (socioscientific issues), suitable methods in science education are of great importance. However, previous studies could not sufficiently clarify the…
Descriptors: Computer Simulation, Teaching Methods, Secondary School Students, Hands on Science
Chen, Yi-Ching; Chang, Yu-Shan; Chuang, Meng-Jung – Journal of Computer Assisted Learning, 2022
Virtual reality (VR) can promote design performance, and may generate a high cognitive load and affect creative design thinking as well. In order to examine the effect of VR application on cognitive load and engineering design creativity, this study recruited 81 eighth-grade students as participants and employed a non-equivalent-groups…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Creative Thinking
Xu, Yanhua; Liu, Zile; Lin, Peiying – Journal of Baltic Science Education, 2022
Geographical practice power is a key competency essential for students' overall development. It is, therefore, important to understand its concepts, contexts, and content. Practical activities following scientific and operable principles in real geographical situations would enable students to unleash their potential across the curriculum. The…
Descriptors: Geography, Geographic Concepts, Elementary School Students, Secondary School Students
Petricevic, Ema; Putarek, Vanja; Pavlin-Bernardic, Nina – Educational Psychology, 2022
The hierarchical model of achievement motivation assumes that individual characteristics predict achievement goals, which further predict achievement outcomes. One of the individual characteristics that may be particularly important in subjects that require abstract reasoning, such as mathematics, is need for cognition. Therefore, the aim of the…
Descriptors: Learner Engagement, Mathematics Instruction, Cognitive Processes, Academic Achievement
Segaran, Jeevalata Sathera; Eu, Leong Kwan – Malaysian Online Journal of Educational Sciences, 2022
This study takes a closer look at Form Four students' initial mathematical modelling process when solving mathematical problems using GeoGebra. The modelling process was observed from cognitive perspective to learn the difficulties students faced during the process and the result would give ideas for intervention. Qualitative approach by using…
Descriptors: Mathematical Models, Problem Solving, Computer Software, Mathematics Skills
Yukhymenko-Lescroart, Mariya A.; Goldman, Susan R.; Lawless, Kimberly A.; Pellegrino, James W.; Shanahan, Cynthia R. – Educational Psychology, 2022
To extend the existing research examining multiple text comprehension and its assessment, we developed a verification task approach to assessing of information that was "explicitly" and "implicitly" presented "within" and across nine texts. A nonparametric form of signal detection theory was used to analyse the…
Descriptors: Task Analysis, Reading Comprehension, Middle School Students, Nonparametric Statistics
Kelly D. Robinette – ProQuest LLC, 2022
Teacher evaluation systems are designed to provide teachers with feedback to improve their practice. The feedback, however, is oftentimes not delivered in a way that considers the underlying cognitive processes that teachers experience when presented with performance feedback (Jordan & Audia, 2012). According to performance feedback theory,…
Descriptors: Professional Autonomy, Feedback (Response), Teacher Evaluation, Cognitive Processes
Branko Andic; Mirjana Maricic; Filiz Mumcu; Theodosia Prodromou; Janika Leoste; Musa Saimon; Zsolt Lavicza – Smart Learning Environments, 2024
Educational Robotics (ER) has emerged as one of the tools to improve STEM learning in primary education if students are properly instructed. However, there is a lack of studies that guide teachers on which type of instruction should be used for ER in STEM between direct (DI) and indirect instruction (II). As a result, the present study aims to…
Descriptors: Direct Instruction, Educational Technology, Robotics, Task Analysis
Firat Keskin; Sevda Küçük – Journal of Educational Technology and Online Learning, 2024
This study aims to investigate university students' readiness and presence towards online teaching in the context of various variables. The study is designed as survey research, one of the quantitative models. The sample of the study consists of 318 preparatory and firstyear university students studying at a university in the Eastern Anatolian…
Descriptors: Electronic Learning, College Readiness, Teaching Methods, College Freshmen
Joel B. Mendoza; Minie Rose C. Lapinid – Mathematics Teaching Research Journal, 2024
Teachers are often perplexed realizing students ending up with different understandings of the same lesson after attending the same class. This study investigates the use of Variation Theory as a pedagogical design tool in improving students' problem-solving skills in trigonometry. This action research utilizing the 'Learning Study' approach was…
Descriptors: Foreign Countries, High School Students, High School Teachers, Mathematics Instruction
Russell Crank; Jenny Spence – Journal of Adult and Continuing Education, 2024
Student awareness and selection of learning strategies are predictors of academic success. Yet, little is known about learning strategies of students in university preparation science courses, who are frequently mature-aged or underrepresented students. This lack of knowledge potentially hinders tailoring reflective learning experiences, specific…
Descriptors: Electronic Learning, Science Instruction, Learning Strategies, Nontraditional Students
Ting Jii Toh; Zaidatun Tasir – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to analyze the cognitive load experienced by secondary school students in Biology within m-learning environments and its impact on learning performance. Background: Cognitive load has become a critical issue that schools need to address to ensure students can excel in their learning without being overwhelmed. While…
Descriptors: Handheld Devices, Electronic Learning, Educational Technology, Cognitive Processes
Tasya Umi Pertiwi; Dwi Oetomo; Bowo Sugiharto – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
This study aimed to determine the difference in environmental literacy skills between the Project-Based Learning (PjBL) learning model and STEM-based PjBL. This research is quantitative research with a quasi-experimental method. The research design used is a non-equivalent pretest-posttest control group design. The dependent variable in this study…
Descriptors: STEM Education, Active Learning, Student Projects, Environmental Education
Reza Kachouie; Stephen Williams; Harsh Suri – Journal of Information Systems Education, 2024
In today's data-centric world, knowledge and skills in business analytics (BA) have become critical for business professionals to the extent that Foundation BA courses are increasingly being recognised globally as the core component of business programs. However, these courses are characterised by large cohorts of students from diverse backgrounds…
Descriptors: Business Education, Data Analysis, Business Administration, Courses
Eshetu Kibret Emiru; Mateb Tafere Gedifew – Cogent Education, 2024
Less engagement in learning among students' becomes an obstacle to their academic journey, which teacher self-efficacy can influence. This study examined the level and linkages between students' engagement and teacher self-efficacy using data from 714 selected secondary school teachers in the Amhara region of Ethiopia. Descriptive and…
Descriptors: Self Efficacy, Learner Engagement, Secondary School Students, Secondary School Teachers