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Podschuweit, Sören; Bernholt, Sascha; Brückmann, Maja – Research in Science & Technological Education, 2016
Background: Complexity models have provided a suitable framework in various domains to assess students' educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of…
Descriptors: Classroom Environment, Interaction, Academic Achievement, Environmental Influences
Höffler, Tim Niclas; Bonin, Victoria; Parchmann, Ilka – International Journal of Science and Mathematics Education, 2017
Competitions are discussed as a measure to foster students' interest, especially for highly gifted and talented students. In the current study, participants of a cognitive school competition in science were compared to non-participants of the same age group (14-15) who either did not participate in any competition or who participated in a…
Descriptors: Student Motivation, Self Concept, Competition, Athletics
Langheinrich, Jessica; Schönfelder, Mona; Bogner, Franz X. – Journal of Educational Computing Research, 2016
A positive self-concept supposedly affects a student's well-being as well as his or her perception of individual competence at school. As computer-based learning is becoming increasingly important in school, a positive computer-related self-concept (CSC) might help to enhance cognitive achievement. Consequently, we focused on establishing a short,…
Descriptors: Self Concept, Computer Literacy, Grade 8, Grade 11
Sirrakos, George, Jr.; Fraser, Barry J. – Learning Environments Research, 2017
This mixed-methods cross-national study investigated the effectiveness of reality pedagogy (an approach in which teachers become part of students' activities, practices and rituals) in terms of changes in student perceptions of their learning environment and attitudes towards science. A questionnaire was administered to 142 students in grades 8-10…
Descriptors: Student Attitudes, Educational Environment, Scientific Attitudes, Questionnaires
Alkan, Meral; Meinck, Sabine – Large-scale Assessments in Education, 2016
This study investigates the relationship between students' use of information and communication technology (ICT) for social communication and their computer and information literacy (CIL) scores. It also examines whether gender and socioeconomic background moderates this relationship. We utilized student data from IEA's International Computer and…
Descriptors: Information Technology, Information Literacy, Statistical Analysis, Gender Differences
Richter, Juliane; Scheiter, Katharina; Eitel, Alexander – Journal of Educational Psychology, 2018
Multimedia integration signals highlight correspondences between text and pictures with the aim of supporting learning from multimedia. A recent meta-analysis revealed that only learners with low domain-specific prior knowledge benefit from multimedia integration signals. To more thoroughly investigate the influence of prior knowledge on the…
Descriptors: Multimedia Materials, Prior Learning, Quasiexperimental Design, Textbooks
Manzel, Sabine – Citizenship, Social and Economics Education, 2016
In this keynote address given at the International Association for Citizenship, Social and Economics Education (IACSEE) Conference in July 2015, Sabine Manzel focused on participation and decision-making as key competences for democracy. She analysed with standardized videography how both of these competences are realized in classroom interaction.
Descriptors: Participative Decision Making, Classroom Communication, Student Participation, Conference Papers
Sproesser, Ute; Engel, Joachim; Kuntze, Sebastian – Statistics Education Research Journal, 2016
Supporting motivational variables such as self-concept or interest is an important goal of schooling as they relate to learning and achievement. In this study, we investigated whether specific interest and self-concept related to the domains of statistics and mathematics can be fostered through a four-lesson intervention focusing on statistics.…
Descriptors: Self Concept, Statistics, Student Interests, Student Motivation
Heemsoth, Tim; Heinze, Aiso – Journal of Experimental Education, 2016
Thus far, it is unclear how students can learn most effectively from their own errors. In this study, reflections on the rationale behind self-made errors are assumed to enhance knowledge acquisition. In a field experiment with pre/post/follow-up design, the authors practiced fractions with 174 seventh- and eighth-grade students who were randomly…
Descriptors: High School Students, Reflection, Error Patterns, Error Correction
Schwichow, Martin; Christoph, Simon; Boone, William J.; Härtig, Hendrik – International Journal of Science Education, 2016
The so-called control-of-variables strategy (CVS) incorporates the important scientific reasoning skills of designing controlled experiments and interpreting experimental outcomes. As CVS is a prominent component of science standards appropriate assessment instruments are required to measure these scientific reasoning skills and to evaluate the…
Descriptors: Thinking Skills, Science Instruction, Science Experiments, Science Tests
Kuhn, Jochen; Lukowicz, Paul; Hirth, Michael; Poxrucker, Andreas; Weppner, Jens; Younas, Junaid – IEEE Transactions on Learning Technologies, 2016
Smart Glasses such as Google Glass are mobile computers combining classical Head-Mounted Displays (HMD) with several sensors. Therefore, contact-free, sensor-based experiments can be linked with relating, near-eye presented multiple representations. We will present a first approach on how Smart Glasses can be used as an experimental tool for…
Descriptors: Educational Technology, Technology Uses in Education, Science Experiments, Physics
Mahler, Daniela; Großschedl, Jörg; Harms, Ute – International Journal of Science Education, 2017
Teachers make a difference for the outcome of their students in science classrooms. One focus in this context lies on teachers' professional knowledge. We describe this knowledge according to three domains, namely (1) content knowledge (CK), (2) pedagogical content knowledge (PCK), and (3) curricular knowledge (CuK). We hypothesise a positive…
Descriptors: Science Instruction, Science Teachers, Foreign Countries, Pedagogical Content Knowledge
von der Linden, Nicole; Löffler, Elisabeth; Schneider, Wolfgang – Frontline Learning Research, 2015
The present study was conducted to explore the potential positive influence of a short strategy training on metacognitive monitoring competencies covering a life-span approach. Participants of four age groups (3rd-grade children, adolescents, younger and older adults) concluded a paired-associate learning task. Additionally, they gave delayed…
Descriptors: Metacognition, Teaching Methods, Memory, Accuracy
Conradty, Cathérine; Bogner, Franz X. – Education Sciences, 2016
Computers are considered innovative in classrooms, raising expectations of increased cognitive learning outcomes or motivation with effects on Deeper Learning (DL). The "new medium", however, may cause cognitive overloads. Combined with gender-related variations in ability, self-efficacy or self-confidence, computers may even diminish…
Descriptors: Hypermedia, Technology Uses in Education, Educational Technology, Student Motivation
Bakadorova, Olga; Raufelder, Diana – Journal of Educational Research, 2016
Considering the essential role that socio-motivational relationships at school play with respect to achievement motivation, this study examined the differences between students with a low school self-concept and students with a high school self-concept in a large sample of 7th and 8th grade students (N= 1088; M[subscript Age]= 13.7) in secondary…
Descriptors: Student Motivation, Self Concept, Academic Achievement, Role
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