Impact of Hands‐On Research Experience on Students’ Learning in an Introductory Management Information System Course

Although students in Introductory Information Systems courses are taught new technology concepts, the complexity and constantly changing nature of these technologies makes it challenging to deliver the concepts effectively. Aiming to improve students’ learning experiences, this research utilized the five phases of design science methodology to develop an experiment to solve a real‐world problem, and then implemented it in an undergraduate classroom. As part of their classwork, students participated as subjects testing new information technologies to solve a real‐world problem. They were asked to complete a questionnaire and answer questions in a focus group to assess the effectiveness of the technologies tested and determine whether the experience had added to the learning they gained from the course. The results revealed that the students were able to use the new technologies effectively and provide useful feedback to the company sponsoring the study, contributing to the release of a new commercial product line. Students also reported that participating in this research project improved their satisfaction with the introductory MIS course. These results encourage educators to conduct hands‐on experience involving real‐world research projects since they provide valuable additional learning opportunities in introductory MIS courses.     

Creation and Assessment of an Active e-Learning Introductory Geology Course

The recent emphasis in higher education on both student engagement and online learning encouraged the authors to develop an active e-learning environment for an introductory geohazards course, which enrolls 70+ undergraduate students per semester. Instructors focused on replicating the achievements and addressing the challenges within an already established face-to-face student-centered class (Brudzinski and Sikorski 2010; Sit 2013). Through the use of a learning management system (LMS) and other available technologies, a wide range of course components were developed including online homework assignments with automatic grading and tailored feedback, video tutorials of software programs like Google Earth and Microsoft Excel, and more realistic scientific investigations using authentic and freely available data downloaded from the internet. The different course components designed to engage students and improve overall student learning and development were evaluated using student surveys and instructor reflection. Each component can be used independently and intertwined into a face-to-face course. Results suggest that significant opportunities are available in an online environment including the potential for improved student performance and new datasets for educational research. Specifically, results from pre and post-semester Geoscience Concept Inventory (GCI) testing in an active e-learning course show enhanced student learning gains compared to face-to-face lecture-based and student-centered courses.     

Technology affordances: the 'real story' in research with K-12 and undergraduate learners

Computer technologies for learning environments have been introduced with great expectations for improved learning outcomes. However, the great improvements have not materialised; some of these extant studies are examined. Of all the explanations for these disappointing results, the least examined are the affordances of the computer tools. This paper provides a rationale for studying affordances and presents two studies in K‐12 and undergraduate settings showing how powerful affordances are in affecting outcomes. Finally, the paper presents guidelines on how to gradually move students from a game affordance of a computer to a learning mode.     

A model for teaching an introductory programming course using ADRI

High failure and drop-out rates from introductory programming courses continue to be of significant concern to computer science disciplines despite extensive research attempting to address the issue. In this study, we include the three entities of the didactic triangle, instructors, students and curriculum, to explore the learning difficulties that students encounter when studying introductory programming. We first explore students’ perceptions of the barriers and affordances to learning programming. A survey is conducted with introductory programming students to get their feedback on the topics and associated learning resources in the introductory programming course. The instructors’ perceptions are included by analyzing current teaching materials and assessment tools used in the course. As a result, an ADRI based approach is proposed to address the problems identified in the teaching and learning processes of an introductory programming course.     

Situated Learning with Online Portfolios, Classroom Websites and Facebook

In this article we describe the evolution of an elective course designed specifically for undergraduate students in our pre-service teacher education program. This course is intended to prepare these undergraduate students as future teachers—helping them to make effective and creative uses of technology in learning settings. This course emphasizes learning to learn with and about technology, in the ever-changing context of educational technology. Generally speaking, we outline and describe three key goals of teaching young teachers to thoughtfully integrate technology into a real-world classroom. First, the course emphasizes learning to explore and learn proactively by engaging in learning by design activities. Second, students are given an opportunity to try a wide variety of innovative technologies through explorations of their own choosing. Finally, we attempt to leverage the power of online community building for learning by harnessing the ubiquity and convenience of tools like Facebook. We look into the future with great hope and enthusiasm that our preservice teachers will lead the way in integrating new technologies into their teaching in ways that will benefit their students, colleagues, and the greater education community.     

Teaching and Learning in the Mixed-Reality Science Classroom

As emerging technologies become increasingly inexpensive and robust, there is an exciting opportunity to move beyond general purpose computing platforms to realize a new generation of K-12 technology-based learning environments. Mixed-reality technologies integrate real world components with interactive digital media to offer new potential to combine best practices in traditional science learning with the powerful affordances of audio/visual simulations. This paper introduces the realization of a learning environment called SMALLab, the Situated Multimedia Arts Learning Laboratory. We present a recent teaching experiment for high school chemistry students. A mix of qualitative and quantitative research documents the efficacy of this approach for students and teachers. We conclude that mixed-reality learning is viable in mainstream high school classrooms and that students can achieve significant learning gains when this technology is co-designed with educators.     

Historical Evolution of Instructional Technology in Teacher Education Programs: A Ten-Year Update

The content and emphasis of the introductory technology courses for undergraduate preservice teachers has historically been examined, with the earliest study conducted by Stracke in 1932. In an attempt to identify trends in the course DeKieffer conducted a series of studies over ten year intervals, in 1947, 1957, 1967, and 1977. In 2000 the first in a similar series of ten-year studies was conducted, and this 2010 study is the first update to that study. Results indicate that the introductory technology course has gone through a particularly dynamic era recently, with nearly half of all topics appearing as new in 2010. Of particular note among the new topics are SMART Boards and Web 2.0 technologies such as Blogs, Wikis, and Professional and Social Networking Sites.     

Implementation of the Peer-Led Team-Learning Instructional Model as a Stopgap Measure Improves Student Achievement for Students Opting Out of Laboratory

In entry-level university courses in science, technology, engineering, and mathematics fields, students participating in associated laboratory sessions generally do better than those who have no related lab classes. This is a problem when, for various reasons, not enough lab sections can be offered for students and/or when students opt out of optional available lab courses. Faced with such a situation, this study evaluated the efficacy of the peer-led team-learning (PLTL) instructional model as a potential method for narrowing the achievement gap among undergraduate students electing not to enroll in an optional laboratory component of an introductory biology course. In peer-led workshops, small groups of students participated in solving problems and other activities that encouraged active learning. Students led by peer leaders attained significantly higher exam and final course grades in introductory biology than comparable students not participating in PLTL. Among the introductory biology students who opted not to enroll in the optional lab course, those who participated in PLTL averaged more than a letter grade higher than those who did not. This difference was statistically significant, and the PLTL workshops almost entirely closed the achievement gap in lecture exam and final grades for students who did not take the lab.     

Learning activities as enactments of learning affordances in MUVEs: A review-based classification

Three Dimensional Multi-User Virtual Environments (MUVEs) are promising tools in education because of the unique affordances they offer. These learning affordances imply certain actions that in turn can lead to corresponding learning activities. There seems to be a lack of reports on which of the affordances of MUVEs for learning and teaching are used and how they are enacted by relevantly designed learning activities. This study investigates the learning activities conducted in Second Life, the most popular and widely used among the "sandbox" type MUVE platforms, as reported in 205 empirical studies, by associating them with the learning affordances they enact. As necessary step towards this goal, the study proposes a new classification of learning affordances of MUVEs and a new concrete set of learning activities based on the literature review. Learning affordances include free navigation, creation, modeling and simulation, multichannel communication, collaboration and cooperation and content presentation and/or delivery. By using the open, axial and selective coding offered by the grounded method, the learning activities that emerged from the exhaustive empirical review, are well associated with the proposed six learning affordances, validating in return the functionality of the proposed set of learning affordances. The five more general learning activities, resulting from the selective coding, are content creation, content exploration and interaction with content, social interaction, gaming, participation in representations of real life events and situations. Further research on other MUVEs is needed to establish this framework.     

Student Learning and Performance in Information Systems Courses: The Role of Academic Motivation

Despite the need for information technology knowledge in the business world today, enrollments in information systems (IS) courses have been consistently declining. Student performance in lower level IS courses and student assumptions about the level of difficulty of the courses seem to be reasons for lower enrollments. To understand how student motivation may explain learning outcomes in introductory IS courses, this study investigates the impact of intrinsic and extrinsic academic motivations as framed by self‐determination theory on two measures of learning outcomes: (1) student self‐reported measures of learning and (2) actual grades obtained in courses and course components. Using 269 student responses collected in a second‐year undergraduate core course and a first‐year MBA core course, both of which are offered in a traditional face‐to‐face classroom environment, study hypotheses are analyzed. Results indicate that the motivational model explains both the affective and cognitive perceptions of learning held by students. In examining overall grades and grades in course components, the motivational model, however, was unable to sufficiently explain student performance. Data also indicate that there are significant differences between undergraduate and graduate students in terms of their motivation and learning outcomes.     

Identification of Learning Processes by Means of Computer Graphics

Using the example of an undergraduate unit of study that is taught both on-campus and externally, but uses Internet-based learning in both cases, we explore how social media might be used effectively in higher education. We place into question the assumption that such technologies necessarily engage students in constructivist learning; we argue that the affordances of social media must be complemented by social affordances, designed into the learning experience, which thereby generate the necessary connection between students’ motivations to study and their motivations to exploit social media. We demonstrate, via the example given, how assessment structures and strategies are the most effective focus when attempting to create the pedagogical affordances that might lead to collaborative learning.     

Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and student-centered learning is growing considerably. In this article, we present studies focused on how students learn computer programming, based on data drawn from 154,000 code snapshots of computer programs under development by approximately 370 students enrolled in an introductory undergraduate programming course. We use methods from machine learning to discover patterns in the data and try to predict final exam grades. We begin with a set of exploratory experiments that use fully automated techniques to investigate how much students change their programming behavior throughout all assignments in the course. The results show that students’ change in programming patterns is only weakly predictive of course performance. We subsequently hone in on 1 single assignment, trying to map students’ learning process and trajectories and automatically identify productive and unproductive (sink) states within these trajectories. Results show that our process-based metric has better predictive power for final exams than the midterm grades. We conclude with recommendations about the use of such methods for assessment, real-time feedback, and course improvement.     

The use of student learning styles in teaching world politics

This article describes how experiential learning theory can be utilized to teach introductory world politics. Student learning styles and their modes of learning are considered in course design. The objective is to create a learning environment that facilitates active participation and reflection.He is coeditor ofConflict in American Foreign Policy: The Issues Debated (1985) and teaches primarily in the fields of American Foreign Policy and Soviet Politics. Patricia H. Murrell is Director of the Center for Study of Higher Education and a Professor in the Department of Counseling and Personnel Services at Memphis State University. She is co-author ofLearning Styles: Implications for Improving Educational Practices (1987) and has studied the learning preferences of graduate and undergraduate students, including law students.     

Context and user needs in virtual learning in pursuit of qualities of learning

Learning is integral in the present dynamic environment characterized by factors, such as intense technological innovation and global economy. Thus, learning is constantly required as, for example, rapid development of technologies is both a push factor in learning requirements and a vehicle to advance the learning process. The global nature of the environment today calls for virtual learning because of convenience, time and cost factors. This research seeks to draw measures to promote virtual learning experience. The research is based on a virtual learning of a master’s level information and communication technology for development (ICT4D) course at the University of Tampere in 2016. This course was offered two times and to two sets of different student groups. A questionnaire was conducted at the mid-course stage to assess the virtual learning experience and propose the ways to improve learning process. The assessment included how well the virtual environment and pedagogy promoted qualities of learning, these are, active, constructive, collaborative, intentional, contextual, transfer and reflective learning. Excellence in learning should always be promoted and in virtual environment, there is always new opportunities because of the advances in technology. This research seeks to promote qualities of learning by considering context in terms of assessing the learning environment that is, participants’ virtual learning experience, study contents and learning technologies. Context is important in order to map the learning process that suits the learners and study contents. The results of this study include highlighting of pedagogical techniques and technological tools that fit the learners’ and study content requirements to foster learning in a virtual environment.     

Mirror Worlds: Examining the Affordances of a Next Generation Immersive Learning Environment

As technologies continue to develop and evolve, it is imperative that instructional technologists, learning scientists, and educators involved with examining learning affordances of emerging technologies investigate the potential of innovative environments to promote and facilitate learning. This paper, as such, will describe a newly developed immersive, mixed-reality learning environment at Virginia Tech. The Mirror Worlds project, a cutting edge mixed-reality virtual world will be described in terms of the potential for this type of environment to engage participants in authentically situated social and embodied learning activities.     

Self-Regulated Learning in a TELE at the Université de Technologie de Compiègne: an analysis from multiple perspectives

Self-regulation has become a very important topic in the field of learning and instruction. At the same time, the introduction of new technologies in the field of Information and Communication Technologies (ICT) has made it possible to create rich Technology-Enhanced Learning Environments (TELEs) with multiple affordances for supporting self-regulated learning (SRL). This study was conducted within the framework of the TELEPEERS project where we wanted to identify TELEs that seemed to have a potential for supporting SRL. For the last ten years, our University has been deeply involved in research, innovation, and exploration of digital technologies for training (initial and continuous). Local, regional, national, European and international projects were conceived and developed, so that a very significant knowledge base exists today. Our study focuses on a course called 'Introduction to Algorithms and Programming' (NF01) which our University is offering and on the perception of different stakeholders (experts and students) of its affordances for supporting SRL.     

A Conceptual Framework for Organizing Active Learning Experiences in Biology Instruction

Introductory biology courses form a cornerstone of undergraduate instruction. However, the predominantly used lecture approach fails to produce higher-order biology learning. Research shows that active learning strategies can increase student learning, yet few biology instructors use all identified active learning strategies. In this paper, we present a framework to design biology instruction that incorporates all active learning strategies. We review active learning research in undergraduate biology courses, present a framework for organizing active learning strategies, and provide clear implications and future research for designing instruction in introductory undergraduate biology courses.     

Identification of student misconceptions in genetics problem solving via computer program

A genetics problem practice program and tutor on microcomputer was used by 135 undergraduate education majors enrolled in an introductory biology course at Purdue University. The program presented four genetics problems, two monohybrid and two dihybrid, and required the users to predict the number and type of each class of offspring. Student responses were recorded on diskette and analyzed for evidence of misconceptions and difficulties in the genetics problem-solving process. Three main areas of difficulty were identified: difficulties with computational skills, difficulties in the determination of gametes, and inappropriate application of previous learning to new problem situations.     

互联网+下高等数学课程的教学改革思考与探索

高等数学是理、工、商、管等专业的基础课程,高等数学学习程度的好坏直接影响后续相关专业课程的学习。为适应高水平本科教育的新要求,该文针对高等数学课程现状,思考与探索在智慧环境下这些问题的解决方式,从而提升高等数学课程的教学质量,将高等数学打造成"金课"。