16,739 research outputs found

    The Impact of Integrating Computer Simulations On The Achievement of Grade 11 Emirati Students In Uniform Circular Motion

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    Education has been affected by the advancement of technology, especially computer software. This thesis focuses on the impact of computer simulations on studentsā€™ acquisition of Physics concepts related to the topic of Uniform Circular Motion. The main purpose of this thesis is to examine to what extent can computer simulations help students of grade 11 from Al Ain, United Arab Emirates (UAE), learn factual, conceptual and procedural knowledge related to Uniform Circular Motion. It also aims to investigate how simulations affect students of different abilities in terms of their achievement in Physics. A quazi- experimental method was used, where participants were divided into an experimental group and a control group. The experimental group was taught using computer simulations, and the control group was instructed with the help of real- life videos and animations. The main instrument was an achievement test administered before and after the intervention. The study showed a statistically significant advantage for the experimental group over the control group, especially in the procedural knowledge dimension. In addition, results showed that students of medium and low academic levels benefit from the simulations more than students of high level. Results drawn from this study provide valuable information on effective integration of technology in physics teaching, because it examines the impact of simulations on different knowledge dimensions, as well as their effect on students of different abilities. As a result, it encompasses a large spectrum of variables in terms of the effectiveness of simulations, giving room for further researches on technology integration in science education in the UAE and the Arab world context

    Does Technology Improve Education? A Distance Learning Perspective

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    Most universities today address technology challenges in some way or other in their curricula. This paper explores a project undertaken by a university business school incorporating a learning technology model. In particular, it reports on the pedagogical effectiveness of a simulation game employed for this method and carried out by students. Students were given the opportunity to develop their analytical, decision-making and group work skills. Based on feedback from participants, we conclude that the group project facilitated teaching and learning in a virtual environment was more engaged and interested in the material than the group following traditional face-to-face learning methods

    LEARNING AND TECHNOLOGY: AN EXPERIMENT

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    System Modeling: An Exploratory Study Of Engineering Studentsā€™ Conceptual Knowledge And Problem-Solving Skills

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    System modeling (SM) instructional strategy, an application of system thinking (ST), canbe used as an instructional approach to help students develop SM skills and deepen their understanding of subject matter (Hung, 2009). Mechanical engineering students have difficulty applying gained knowledge in real-world contexts and are reportedly underprepared for workplace challenges (Kirkpatrick et al., 2011; Warsame, 2017). This study explored the efficacy of system modeling (SM) instructional strategy in a mechanical engineering course. Specifically, the study sought to understand studentsā€™ perceptions and experiences with the use of system modeling in enhancing their conceptual knowledge and problem-solving skills. This study employed a qualitative inquiry approach to understand engineering studentsā€™ experience and perceptions of the use of system modeling. A purposeful sampling technique was utilized to recruit mechanical engineering students to participate in the study. Semi-structured interviews and studentsā€™ artifacts including problem solving survey and causal modeling diagrams, were used to explore and gain an in-depth understanding of studentsā€™ experiences with the use of system modeling (SM) instructional approach. The findings indicated promising effects of the SM approach on studentsā€™ learning outcomes. Seven major themes emerged from the in-depth interviews conducted to gain insights into studentsā€™ experiences. These themes included: problem diagnosis, interconnection and interdependency, linearity, external representation of causal relationship, wholeness and decision making, organize problem-solving approach, and systematic and forward-thinking process. Studentsā€™ artifacts and data presented in this study supported their positive experiences using the SM approach. The problem solving inventory PSI survey responses indicated that most of the participants believed the SM approach affected their perceived problem-solving skills, especially their approach-avoidance style. Furthermore, the model diagram analysis suggested that all participants showed moderate system thinking skills after the SM instructional strategy. This current study provides insight and understanding about SM instructional strategy effectiveness and how it can help enhance student learning outcomes. Exploring the impact of SM on student learning experiences is important not only because it could provide alternative instruction to the traditional methods, but also to inform instructors of its potential benefit of undergraduate education instruction. Furthermore, the current study could serve as a guide for instructors on how to implement the SM instructional strategy in a mechanical engineering curriculum

    Design and effects of representational scripting on group performance

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    This study investigated the effects of representational scripting on non-expert student learning while collaboratively carrying out complex learning-tasks. The premise underlying this research is that effective cognitive activities would be evoked when complex learning-tasks are structured into phase-related part-tasks and are supported by providing students with part-task-congruent external representations for each phase; representational scripting. It was hypothesized that this approach would lead to increased individual learning and better complex learning-task performance. In groups, 96 secondary education students worked on a complex business-economics problem in four experimental conditions, namely one condition in which the groups received representations that were part-task-congruent for all three phases and three conditions in which the groups received one of these representations for all three phases (i.e., part-task-incongruent for two of the three phases). The results indicate that groups receiving part-task-congruent representations in a phased order performed better on the complex learning-task, though this did not result in increased individual learning

    Beyond the Bubble: Technology and the Future of Student Assessment

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    Provides an overview of information technology's potential to enable better assessments of student achievement. Outlines promising models for testing complex skills, cognition, and learning and for utilizing such assessments to improve instruction
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