Changes in the basic ICT skills of freshmen between 2005 and 2009: Who’s catching up and who’s still behind?

In the last decade, ICT use has expanded enormously in most Western countries. In line with this development, we hypothesised that freshmen at university would not only have mastered more ICT skills, but would also use computers more often than their counterparts of 5 years previously. To compare students’ opinions and behaviour between 2005 and 2009, responses to two online questionnaires (N = 714 in 2005 and N = 1529 in 2009) offered at a large university were compared. The main variables of the Technology Acceptance Model (as well as facilitating factors, study motivation and some contextual variables) were used as predictors to explore the possible changes between 2005 and 2009 in the mastering of 19 ICT skills, and the frequency of the use of computers for six different tasks. The results of the study show that freshmen became more proficient in some ICT skills, while proficiency in other skills did not change or even dropped. Gender is still an important factor to predict ICT skills and the frequency of using computers, but it is shown that for some skills female students have caught up with their male counterparts.     

Mind, Brain, and Education: Building a Scientific Groundwork for Learning and Teaching1

ABSTRACT— The primary goal of the emerging field of Mind, Brain, and Education is to join biology, cognitive science, development, and education in order to create a sound grounding of education in research. The growing, worldwide movement needs to avoid the myths and distortions of popular conceptions of brain and genetics and build on the best integration of research with practice, creating a strong infrastructure that joins scientists with educators to study effective learning and teaching in educational settings. Science and practice together provide many potentially powerful tools to improve education. Neuroscience and genetics make possible analysis of the "black box" of biological processes that underpin learning. Understanding the biology of abilities and disabilities helps educators and parents to facilitate individual students' learning and development. Cognitive science provides analyses of the mental models/metaphors that pervade meaning making in human cultures, creating tools for avoiding unconscious distortions and crafting effective educational tools. Developmental and learning science produce tools to analyze learning pathways, including both shared patterns and learning differences. To reach the potential of grounding education effectively in research requires improving the infrastructure by creating (a) research schools where practice and science jointly shape educational research, (b) shared databases on learning and development, and (c) a new profession of educational engineers or translators to facilitate connecting research with practice and policy.     

Individual (Learning and Motivational) Needs versus Instructional Conditions of Gifted Education[1]

A decisive factor in the determination of effective Gifted Education is the fit between the individual cognitive and motivational pre‐conditions of the learning process and the instructional situation. This central thesis is based partly on the multidimensional talent and giftedness concepts and partly on the interaction between the individual learning needs and learning opportunities as found in the Aptitude‐Treatment‐Interaction Model (Corno & Snow, 1986). In a series of quasi‐experiments in a school setting, so‐called attributional retraining has proved to be an effective intervention method in reducing helplessness and similar unfavorable behavior patterns. This procedure works according to Weiner's causal attribution model (Weiner, 1986) and Dweck's model of achievement motivation (Dweck & Leggett, 1988). The possibilities of using this method in school settings are shown in this article and the method's contribution to the promotion of the gifted is discussed.

     

Assessing the Assessments of Teacher Preparation

Teacher preparation programs have both a desire and a responsibility to demonstrate, with affirmative evidence, that teacher education makes a difference in PreK–12 student learning. Program faculty need good data to make decisions about the progress of students, whom to recommend for state licensure, and how to improve teacher education. This article describes an American Psychological Association task force report that discusses 3 measures of program effectiveness that have potential for both informing the public and providing useful data for programs to continuously improve: (a) outcome data from PreK–12 student academic growth as assessed by standardized tests; (b) teacher performance as evaluated by valid and reliable observational instruments; and (c) judgments of graduates, their PreK–12 students, and those who hire teachers as gauged by surveys. Although no technique of data collection and analysis is perfect, this report provides directions for teacher educators who seek to continuously improve their programs.