Using scenarios to design complex technology-enhanced learning environments

Science Created by You (SCY) learning environments are computer-based environments in which students learn about science topics in the context of addressing a socio-scientific problem. Along their way to a solution for this problem students produce many types of intermediate products or learning objects. SCY learning environments center the entire learning process around creating, sharing, discussing, and re-using these learning objects. This instructional approach requires dedicated instructional designs, which are supplied in the form of what are called pedagogical scenarios. A SCY pedagogical scenario presents the learning process as an organized assembly of elementary learning processes, each associated with a specific learning object and a tool for creating this learning object. Designing a SCY learning environment is basically a two-step procedure: the first step is to select one of the available scenarios, and the second step is to define the domain content. The SCY technical infrastructure then handles the instantiation of the scenario as a SCY computer-based learning environment. In this article we describe the SCY pedagogical design scenarios and report on our experiences in designing four different SCY learning environments.     

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.     

Online learning and performance support in organizational environments using performance support platforms

An electronic performance support system (EPSS) is a method that integrates learning and task performance into one single action by providing information and guidance during performance. Wide‐range EPSS effectiveness research has been conducted by Tel Aviv University in tandem with a large telecommunications firm implementing EPSS solutions. The objective was to identify the factors that were instrumental in the realization of EPSS's potential in corporate settings. This article focuses on effectiveness differences in two common organizational environments: the learning and the working domains.     

The effectiveness of self-regulated learning scaffolds on academic performance in computer-based learning environments: a meta-analysis

This meta-analysis examined research on the effects of self-regulated learning scaffolds on academic performance in computer-based learning environments from 2004 to 2015. A total of 29 articles met inclusion criteria and were included in the final analysis with a total sample size of 2648 students. Moderator analyses were performed using a random effects model that focused on the three main areas of scaffold characteristics (including the mechanism, functions, delivery forms, mode, and number of scaffolds; how to promote self-regulated learning by scaffolds); demographics of the selected studies (including sample groups, sample size, learning domain, research settings, and types of computer-based learning environments); and research methodological features (including research methods, types of research design, types of organization for treatment, and duration of treatment). Findings revealed that self-regulated learning scaffolds in computer-based learning environments generally produced a significantly positive effect on academic performance (ES = 0.438). It is also suggested that both domain-general and domain-specific scaffolds can support the entire process of self-regulated learning since they demonstrated substantial effects on academic performance. Different impacts of various studies and their methodological features are presented and discussed.     

Global channels of evidence for learning and assessment in complex game environments

In this paper, we take a designer's look at how the activities and data of learning and assessment can be structured in immersive virtual game environments called Massively Multi‐Player Online Games (MMOG). In doing so, we examine the channels of evidence through which learning and assessment activities are derived in MMOGs, offering examples of how multiple evidence channels in operation through game‐based activities can be utilised to construct rich data trails for assessment.     

Learning to assess and evaluate complex realities

Educational Assessment, Evaluation and Accountability -     

Teacher adaptation to flexible learning environments

Learning Environments Research - Teaching practices respond to the prompts, resources and inherent potential of a school’s physical, social and cultural landscape. This study involved how...     

Problem-based learning in formal and informal learning environments

Problem-based learning (PBL) is a student-centered instructional strategy in which students solve problems and reflect on their experiences. Different domains need different approaches in the design of PBL systems. Therefore, we present one case study in this article: A Java Programming PBL. The application is developed as an additional module for the Learning Management System (LMS). This way the LMS is extended by PBL functionality and the LMS learning resources can be used in PBL.     

Teaching and learning in digital environments: The resurgence of resource-based learning

The digital age has not simply changed the nature of resources and information; it has transformed several basic social and economic enterprises. Contemporary society—the settings where we live, work, and learn—has likewise changed dramatically. Both the amount of information and access to it have grown exponentially; a significant potential for using varied resources in numerous ways for instruction and learning has emerged. However, several issues related to the educational uses of varied resources (e.g., people, place, things, ideas) must be addressed if we are successfully to implement resource-based learning environments. In this paper, we trace the changing nature of resources and perspectives in their use for learning in the digital age, describe the overarching structures of resource-based learning environments, and identify key challenges to be addressed.     

Student performance in computing education: an empirical analysis of online learning in programming education environments

The benefits of using online exercises have been analysed in terms of distance learning, automatic assessment and self-regulated learning. In this study, we have not found a direct proportional relationship between student performance in the course exercises that use online technologies and the exam grades. We see that the average submission rate to these online exercises is not positively correlated with the exercise points. Yet, our results confirm that doing exercises along supports student learning and skill accumulation equipping them with the knowledge of programming. While the student performance in programming courses is affected by factors such as prior background in programming, cognitive skills and the quality of teaching, completing the course exercises via learning-by-doing is an indispensable part of teaching. Based on the student feedback from the course survey, the students are highly satisfied with using online technologies as part of learning.     

Assessing the impact of learning environments on students' approaches to learning: comparing conventional and action learning designs

This study investigated whether students' approaches to learning were influenced by the design of university courses. Pre‐ and post‐evaluations of the approaches to learning of the same group of students concurrently enrolled in a conventional course (lectures and tutorials) and an action learning‐based course (project work, learning groups) were conducted. Students who reported themselves as more ‘typically deep’ in their approach to learning were consistent in their approaches across the different environments. However, students who reported themselves as more ‘typically surface’ were influenced to adopt deeper processing strategies in the action learning design. Students explained this ‘deep shift’ in terms of the greater expectations of learner activity and responsibility in the action learning design.     

Co-regulation of learning in computer-supported collaborative learning environments: a discussion

This discussion paper for this special issue examines co-regulation of learning in computer-supported collaborative learning (CSCL) environments extending research on self-regulated learning in computerbased environments. The discussion employs a socio-cognitive perspective focusing on social and collective views of learning to examine how students co-regulate and collaborate in computer-supported inquiry. Following the review of the articles, theoretical, methodological and instructional implications are discussed: Future research directions include examining the theoretical nature of collective regulation and social metacognition in building models of co-regulated learning; expanding methodological approaches using trace data and multiple measures for convergence and construct validity; and conducting instructional experiments to test and to foster the development of co-regulated learning in computer-supported collaborative inquiry.     

Interactive and non-interactive pictures in multimedia learning environments: Effects on learning outcomes and learning efficiency

New technologies enable flexible combinations of text and interactive or non-interactive pictures. The aim of the present study was to investigate (a) whether adding pictures to texts is generally beneficial for learning or whether it can also have detrimental effects, (b) how interactivity of pictures affects learning, (c) whether the visualization format of pictures affects the structure of the learner's mental model, and (d) whether the visualization format modifies the effects of interactivity. One hundred university students were randomly assigned to five groups. In four groups, a text about the different daytimes and days on the earth was combined with interactive or non-interactive pictures of different visualization formats. In the fifth group, the text was presented without pictures. According to the results, adding pictures to text was neither beneficial nor harmful for learning. In terms of learning efficiency, however, learning from text only was more successful than learning from text and pictures. Interactivity was beneficial for one learning task, but not for the other task. The visualization format affected participants’ interaction with pictures, but not the learning outcomes; however this effect was not influenced by interactivity. Implications for multimedia design and for further research are pointed out.