Group items tagged

This article examines technology trends in higher education and how they impact student habits and preferences in college libraries. A study was conducted among students at the Sam Houston State University in East Texas to investigate their usage of electronic devices and technologies such as text messaging, Twitter, podcasts, Really Simple Syndication (RSS) feeds, and social networks. Results indicate that students do wish that basic library services were available through the most popular social networking sites and Internet technologies. Topics include a review of literature consulted, methods used, and the demographics of the student body researched. [Abstract from ESC Academic Search Complete database] Link: http://eds.b.ebscohost.com.library.esc.edu/ehost/detail/detail?vid=7&sid=32d26eef-5aab-4af2-ad1a-c9624344797d%40sessionmgr115&hid=126&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=61993848&db=a9h Cassidy, E. D., Britsch, J., Griffin, G., Manolovitz, T., Shen, L., & Turney, L. (2011). Higher Education and Emerging Technologies: Student Usage, Preferences, and Lessons for Library Services. Reference & User Services Quarterly, 50(4), 380-391.

"Technology acceptance in education has been and continues to be a central concern for researchers, application and platform developers, and educators. Rapid advancements in miniaturization along with the availability of fast, reliable, and affordable networks have sparked an increasing demand by students for better ways to complement their mobile lifestyles in support of their learning. Based on a review of the literature of technology acceptance and trends in mobile device usage in learning, this researcher tested the predictive power of the Mobile Learning Acceptance Model (MLAM) in an online higher education setting. MLAM is an extension of the technology acceptance model (TAM) inasmuch as it seeks to obtain user perceptions of usefulness and ease of use and their effect on user attitude and behavioral intention to use mobile devices for learning. For this research, users included students and faculty. Current literature indicates that student desire for access to a variety of learning resources anywhere anytime is growing yet little is known regarding faculty perceptions regarding mobile learning (m-learning) or on how institutions can position themselves to meet the growing demand. A web-based survey design was used to test MLAM using a previously developed and validated instrument, though updated to include and exclude what is now or no longer applicable and the wording modified to ensure relevancy to the target population studied. Exploratory factor analysis was performed to validate the factor structure. Multiple regression analysis was performed to determine which factors had the greatest influence on m-learning acceptance." [Abstract from ERIC database.] Link: http://search.proquest.com.library.esc.edu/docview/1399418322/abstract?accountid=8067 Marrs, K. (2013). An investigation of the factors that influence faculty and student acceptance of mobile learning in online higher education. Retrieved from http://search.proquest.com.library.esc.edu/pqrl/doc

Baum, S, Harris, D. Kelly, A. and Mitchell, T (2017) A Principled Federal Role in Higher Education, Brief https://nscresearchcenter.org/current-term-enrollment-estimates/ A brief from the Urban Institute that discusses the role of the federal government in higher education and describes points of action recommended to improve higher education across the nation. These include subsiding costs, data gathering for market function improvement, accountability and quality assurance, and support for research at public institutions. College enrollment continues a downward trend for undergraduate enrollment and an upward trend in graduate enrollment.

Cullinan, Flannery, D., Harold, J., Lyons, S., & Palcic, D. (2021). The disconnected: COVID-19 and disparities in access to quality broadband for higher education students. International Journal of Educational Technology in Higher Education, 18(1), 26-26. https://doi.org/10.1186/s41239-021-00262-1

Turkle herself, in a brief commentary on her new book (see review, also tagged here) - Her reference to the interactive dynamics in MOOCs is interesting - something we should attend to as we join our Coursera study later this month.

To Dr. Gal: I would like to read this Chronicle of Higher Education article about Turkle -- but the Chronicle does not allow full access. I will try to find this somewhere so I can read it. Robert

Ho, A. D., Reich, J., Nesterko, S., Seaton, D. T., Mullaney, T., Waldo, J., & Chuang, I. (2014). HarvardX and MITx: The first year of open online courses (HarvardX and MITx Working Paper No. 1). Retrieved from http://ssrn.com/abstract=2381263 The report analyzes in detail the interaction between the students and courses and draws conclusions based on the findings and suggests further research. One of the insights that makes MOOCs quite different than traditional classroom courses is the usage patterns. The authors pointed out that "[n]ew metrics, far beyond grades and course certification, are necessary to capture the diverse usage patterns in the data. A simple comparison of grades and viewed content shows thousands of users who fit a range of profiles. Of particular interest may be those students who accessed substantial course content but did not participate in assessments." (Ho, et al., 2014, p. 3.)

To Marian: I never really paid that much attention to MOOCs until you presented all this information on them. I suppose distance learning and MOOCs are the wave of the future. I am going to have to learn a lot more about MOOCs to understand where higher education may well be going -- at least at the undergraduate level.

Marian: We have an unusual culture where I work. If there is work, it comes with a price. We have many faculty who feel that they need to be paid a lot more to develop in this platform model. 100 students in a course is hard for them to imagine, but much of the grading can be automated. I would like to encourage the use of MOOCs for a few reasons, but I have two that are of value to the education industry. The first is students who are unsure of their educational goals can take advantage of the free or very low cost access to content to see if the path is for them. Second, there seems to be an opportunity for increased enrollment. This is an area that many institutions across the nation are struggling with. Having so much more online availability and larger classes could be part of the solution.

Yousef, A. M. F., Chatti, M. A., Wosnitza, M., & Schroeder, U. (2015). A Cluster Analysis of MOOC Stakeholder Perspectives. RUSC. Universities and Knowledge Society Journal, 12(1). pp. 74-90. doi http://dx.doi.org/10.7238/rusc.v12i1.2253 Abstract "Massive Open Online Courses (MOOCs) are providing opportunities for thousands of learners to participate in free higher education courses online. MOOCs have unique features that make them an effective Technology Enhanced Learning (TEL) approach. Institutions are offering a growing variety of MOOCs. Nevertheless, there are several crucial challenges that should be considered in the development of MOOCs, e.g., the drop-out rate of over 95% of course participants. One of the potential reasons for that is the complexity and diversity of MOOC participants. This diversity is not only related to the cultural and demographic profile, but also considers the diverse motives and perspectives when enrolled in MOOCs. This paper aims to cluster and analyze the different objectives of MOOC stakeholders to build a deeper and better understanding of their behaviors. Our main finding was a set of eight clusters, i.e., blended learning, flexibility, high quality content, instructional design and learning methodologies, lifelong learning, network learning, openness, and student-centered learning. This cluster schema creates a meaningful picture for the MOOC community" (p. 71). This is a peer reviewed scholarly article that uses qualitative and quantitative methods to analyze survey data on MOOC instructors and learners. Responses were relatively low: 158. The context is unclear - where did they get the sampling frame from? And why did they combine the learners and instructors? So there is some question as to the sample and it cannot be generalized. That said, they are innovative in their qualitative analysis. The qualitative work analyzed the open ended questions in their survey. They used a research method that allowed them to catego

A university-wide survey on students' mobile learning practices showed that ownership of mobile devices is high among students and that tablets are the most popular devices for academic purposes. The survey also found that mobile learning typically occurs outside the classroom, with only limited guidance from instructors.

"Higher Education in the Digital Age" (edited by William G. Bowen) is divided into two sections. The first section includes adaptations of Bowen's presentations at The Tanner Lectures at Stanford University in 2012. The second section includes discussion responses from respected colleagues, and Bowen's response to the same.

"Mobile cloud learning, a combination of mobile learning and cloud computing, is a relatively new concept that holds considerable promise for future development and delivery in the education sectors. Cloud computing helps mobile learning overcome obstacles related to mobile computing. The main focus of this paper is to explore how cloud computing changes traditional mobile learning. A case study of the usage of Moodle in the cloud via mobile learning in Khalifa University was conducted." [Abstract from ERIC database.] Wang, M., Chen, Y., & Khan, M. J. (2014). Mobile Cloud Learning for Higher Education: A Case Study of Moodle in the Cloud. International Review of Research in Open and Distance Learning. 15(2), 254-267.

Valuable study on institiutions - 'a robust re-examination of the modern university's mission and its role within networked society'

EDU681102 - Module 2, Week 2. Mark Ness, article #4.

Using iPads in the classroom has been helpful reading Hamlet. Shakespeare is difficult to understand, but students can get help accessing No Fear Shakespeare on their iPads.

I have the same problems Khader in trying to integrate Chromebooks as much as possible. I constantly feel that it is a struggle to get their attention and maintain it especially if they are convinced they should be allowed to "multitask" between the assignment and a game, but in the end the resources I am able to integrate in is well worth those struggles.

I agree with the problem of technology in the hands of students can often be distracting. The temptation to play games, search google, and social media is huge. It is so difficult to find a balance in a less than ideal world. My hope is that the earlier we introduce technology in the classroom, the novelty will wear off by the higher grades. Even with controls on wifi and devices, students are so tech savvy, they find ways around it.

Recently, the usage of plagiarism detection software such as Turnitin® has increased dramatically among university instructors. At the same time, academic criticism of this software's employment has also increased. We interviewed 23 faculty members from various departments at a medium-sized, public university in the southeastern US to determine their perspectives on Turnitin® and student plagiarism.

Advances have been made in detecting and deterring the student plagiarism that has accompanied the uptake and development of the internet. Many authors from the late 1990s onwards grappled with plagiarism in the digital age, presenting articles that were provoking and established the foundation for strategies to address cyber plagiarism, including software such as Turnitin™.

Purpose - Society may be on the verge of a revolutionary phase of mobile device use in higher education generally and in libraries in particular. This paper seeks to address this issue. Design/methodology/approach - Through an examination of trends and technological developments in the area of mobile devices and a review of the potential of mobile devices, the paper analyzes the potential of mobile devices in academic libraries. Findings - Most college students own cell phones and laptops and the capabilities of these and other devices are expanding. Research limitations/implications - Libraries have the opportunity to extend new types of services to users of mobile devices and to develop, license, or otherwise make available scholarly content that is configured for mobile devices. Ideally, libraries will become part of an institutional planning process for the development of services for mobile devices. Practical implications - The more pervasive use by students of smartphones, the uptake of e-book readers, and the increasing use of mobile devices in some areas of the curriculum all have implications for libraries. Social implications - Some writers in this area believe that the increased capabilities of mobile devices could lead to new forms of engagement with student learning; this possibility can be embraced by academic libraries that seek to be strong partners in the teaching and learning process of their institution. Originality/value - The paper synthesizes developments and provides suggestions for the future. [Abstract from ESC ProQuest Research Library database] Link: http://search.proquest.com.library.esc.edu/pqrl/docview/200472713/abstract/66E4668274504CDCPQ/1?accountid=8067 Lippincott, J. K. (2010). A mobile future for academic libraries. Reference Services Review, 38(2), 205-213. doi:http://dx.doi.org/10.1108/00907321011044981

"The advantages of mobile technologies have not been lost on higher education institutions, and they have tried to provide educational services through the use of mobile learning management system (LMS). However, offering such services does not necessarily mean that the students will adopt the new technology. Thus, the purpose of this study was to examine what factors facilitate and hinder the students' adoption of the mobile campus. The study was based on the diffusion of innovation model and compared the perceptions of mobile LMS users and nonusers. Eighty-five students in a cyber university responded to the survey, and the results revealed that even though nonusers perceived the advantages of using mobile LMS, they did not adopt the system because of its complexity and resistance. A discussion and the implications for further development of mobile LMS followed." [Abstract from ERIC database.] Han, I., & Han, S. (2014). Adoption of the Mobile Campus in a Cyber University. International Review of Research in Open and Distance Learning. 15(6), 237-256.