Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework

Designing effective curricula for complex topics and incorporating technological tools is an evolving process. One important way to foster effective design is to synthesize successful practices. This paper describes a framework called scaffolded knowledge integration and illustrates how it guided the design of two successful course enhancements in the field of computer science and engineering. One course enhancement, the LISP Knowledge Integration Environment, improved learning and resulted in more gender-equitable outcomes. The second course enhancement, the spatial reasoning environment, addressed spatial reasoning in an introductory engineering course. This enhancement minimized the importance of prior knowledge of spatial reasoning and helped students develop a more comprehensive repertoire of spatial reasoning strategies. Taken together, the instructional research programs reinforce the value of the scaffolded knowledge integration framework and suggest directions for future curriculum reformers.Portions of this paper were presented at the American Psychological Association Meeting, Ontario, Canada, August 22, 1993. under the title of Cognition and instruction in higher education: Applications of advanced technologies. The title of the symposium was New Fellows in Educational Psychology-The Implications of Their Work for University-Level Instruction. This material is based upon research supported by the National Science Foundation under grant MDR-8954753. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and not necessarily reflect the views of the National Science Foundation.     

The effects of cross-modality and level of self-regulated learning on knowledge acquisition with smartpads

Recently, there has been a transition from traditional paper or computer-based learning environments to smartpad-based learning environments, which are based on touch and involve various cognitive strategies such as touch operation and note taking. Accordingly, the use of smartpads can provide an effective learning environment through cross-modality, which simultaneously integrates information using two or more sensory modalities. Based on this rationale, this study investigated the effects of cross-modality (vision and tactility) on knowledge acquisition in a smartpad-based learning environment. Interaction between different modalities and learners’ self-regulated learning (SRL) skills was also tested. Ninety-nine college students were randomly assigned to three different learning environments: paper-based, smartpad-based unimodal, and smartpad-based cross-modal environments. Students were differentiated according to high and low SRL skill levels. The findings suggest that the participants in the smartpad-based cross-modal environment significantly outperformed the participants in the smartpad-based unimodal environment pertinent to identification and comprehension knowledge acquisition. Furthermore, the participants in the smartpad-based cross-modal environment performed equally with the participants in the paper-based environment.     

Making inquiry-based science learning visible: the influence of CVS and cognitive skills on content knowledge learning in guided inquiry

ABSTRACT

Many science curricula and standards emphasise that students should learn both scientific knowledge and the skills associated with the construction of this knowledge. One way to achieve this goal is to use inquiry-learning activities that embed the use of science process skills. We investigated the influence of scientific reasoning skills (i.e. conceptual and procedural knowledge of the control-of-variables strategy) on students’ conceptual learning gains in physics during an inquiry-learning activity. Eighth graders (n?=?189) answered research questions about variables that influence the force of electromagnets and the brightness of light bulbs by designing, running, and interpreting experiments. We measured knowledge of electricity and electromagnets, scientific reasoning skills, and cognitive skills (analogical reasoning and reading ability). Using structural equation modelling we found no direct effects of cognitive skills on students’ content knowledge learning gains; however, there were direct effects of scientific reasoning skills on content knowledge learning gains. Our results show that cognitive skills are not sufficient; students require specific scientific reasoning skills to learn science content from inquiry activities. Furthermore, our findings illustrate that what students learn during guided inquiry activities becomes visible when we examine both the skills used during inquiry learning and the process of knowledge construction. The implications of these findings for science teaching and research are discussed.     

Automatic representation of knowledge structure: enhancing learning through knowledge structure reflection in an online course

Educational technology research and development - Summary writing is an important skill that students use throughout their academic careers, writing supports reading and vocabulary skills as well...     

What counts as knowledge: learning to use categories in computer environments

In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories taken from scientific discourse. The analysis illustrates how categories in the progressive inquiry model could guide students towards a more systematic orientation to problem solving.     

Experimental evidence of the relative effectiveness of problem-based learning for knowledge acquisition and retention

This study investigated the effects of problem-based learning (PBL) on knowledge acquisition and knowledge retention in a controlled experiment in a lab setting. Eighty-eight first-year psychology students were randomly assigned to either a PBL condition, a lecture condition, or a self-study condition. All participants had the opportunity to study the same text. Their knowledge acquisition was tested on both an immediate post-test and a delayed post-test, one week later. The results showed beneficial effects for the PBL group on the immediate and the delayed test compared to the lecture group. There were no differences between knowledge acquisition scores for the self-study condition and either of the other conditions. Moreover, no differences on knowledge retention were shown, because the decline in performance over time was equal in all conditions. In conclusion, the present study provides experimentally based evidence of the disadvantageous effects of instruction through lectures compared to PBL.     

Motivation in a computer-supported collaborative learning scenario and its impact on learning activities and knowledge acquisition

Addressing a drawback in current research on computer-supported collaborative learning (CSCL), this study investigated the influence of motivation on learning activities and knowledge acquisition during CSCL. Participants’ (N = 200 university students) task was to develop a handout for which they had first an individual preparing phase followed by a computer-supported collaborative learning phase immediately afterwards. It was hypothesized that in both phases current motivation (in terms of expectancy and value components) influences both learning activities and knowledge acquisition in a positive way. According to main results, only goal orientations (before learning) were associated with knowledge acquisition respectively observed learning activities during the collaborative phase. Expectancy and value components of current motivation related neither to observed learning activities nor to knowledge acquisition during collaborative learning but were in part associated with learning activities and knowledge acquisition during individual learning. The discussion addresses several possible explanations for these unexpected results.     

Beyond the learning process and toward the knowledge creation process: Linking learning and knowledge in the supportive learning culture

This integrative literature review synthesizes the concepts and process of organizational knowledge creation with theories of individual learning. The knowledge conversion concept (Nonaka & Takeuchi, 1995; Nonaka, Toyama, & Byosière, 2001) is used as the basis of the organizational knowledge creation process, while major learning theories relevant to working adult learners are newly synthesized into four types of individual learning processes: adaptive, generative, transformative, and reflective. The results suggest an integrative conceptual flow map of individual and organizational learning facilitated by culture and management system enablers. Implications for using this conceptual framework for practicing performance technology solutions are also discussed.     

生物学新课程与个性化学习方案

本文就生物学新课程实施过程中个性化学习方案推出的理由、生物学新课程与促进个性化学习的策略、意义等三个方面作了阐述。     

Exploring the effect of background knowledge and text cohesion on learning from texts in computer science

In this study, we examine the effect of background knowledge and local cohesion on learning from texts. The study is based on construction–integration model. Participants were 176 undergraduate students who read a Computer Science text. Half of the participants read a text of maximum local cohesion and the other a text of minimum local cohesion. Afterwards, they answered open-ended and multiple-choice versions of text-based, bridging-inference and elaborative-inference questions. The results showed that students with high background knowledge, reading the low-cohesion text, performed better in bridging-inference and in elaborative-inference questions, than those who read the high-cohesion text. Students with low background knowledge, reading the high-cohesion text, performed better in all types of questions than students reading the low-cohesion text only in elaborative-inference questions. The performance with open-ended and multiple-choice questions was similar, indicating that this type of question is more difficult to answer, regardless of the question format.     

Confusion and complex learning during interactions with computer learning environments

Folk wisdom holds that being confused is detrimental to learning. However, research on emotions and learning suggest a somewhat more complex relationship between confusion and learning outcomes. In fact, it has been proposed that impasses that trigger states of cognitive disequilibrium and confusion can create opportunities for deep learning of conceptually difficult content. This paper discusses four computer learning environments that either naturally or artificially induce confusion in learners in order to create learning opportunities. First, an Intelligent Tutoring System called AutoTutor that engenders confusion through challenging problems and vague hints is described. The remaining three environments were specifically designed to induce confusion through a number of different interventions. These interventions include device breakdowns, contradictory information, and false feedback. The success and limitations of confusion induction and the impact of confusion resolution on learning are discussed. Potential methods to help learners productively manage their confusion instead of being hopelessly confused are also discussed.     

Visualisation and computer assisted learning: the role of videodiscs

Visualisation is a powerful tool in research; visual, dynamic and interactive representations help learners using simulations and microworlds to gain qualitative understanding of concepts. Recorded video can bring reality to computer assisted learning. The author argues that the two approaches, while complementary, are not entirely compatible; that is, the use of video images in simulations often implies a trade-off against qualitative modelling power. Appropriate roles for video are discussed in the light of this contention.