Search results

The interruption of on-campus teaching and learning, due to the COVID-19 pandemic, forced universities around the globe to rethink their pedagogical models and adopt innovative strategies and approaches that enabled continuity of learning. Engineering schools and faculties were faced with the challenge of how to continue to engage students with the practical component of coursework, especially in terms of lab work and experimentation, which are mandatory requirements for degree awards.

This study documents how the Faculty of Engineering in a university in Oman engaged students with the practical component of their course during the pandemic by launching the remote DoIt@Home Lab. The DoIt@Home Lab approach included the design and development of video recorded labs, virtual labs, simulation exercises and DoIt@Home experiments which were provided to students as teaching tools and guides to conducting home experiments remotely.

This study presents the DoIt@Home Lab approach introduced to Year 2 Chemistry for engineering students. Students' grades improved by 11% over the previous year when the course was delivered face-to-face. Failure rates dropped by 8% while the number of students earning a 3.25 grade point average (GPA) or higher increased by 18%.

The DoIt@Home Lab for engineering courses could enhance students' learning experience and create an effective remote learning environment. While the DoIt@Home Lab was created to supplement on-campus activity in the event of a temporary disruption, it can also be used to supplement regular face-to-face program delivery.

This chapter examines the external validity of lab experiments on corruption by evaluating the extent to which experimental results are robust to the degree of field context included in the experimental design. To do so, we follow Harrison and List (2004) and partition corruption experiments into four classes depending on their field context. A comparison of the results obtained within each class reveals that similar treatment effects tend to emerge. Although a definitive answer to the external validity question has yet to be provided, these preliminary results provide some support to the external validity of lab experiments on corruption.

Human lab experiments have become an established method in information systems research for investigating user behavior, perception and even neurophysiology. The purpose of this paper is to facilitate experimental research by providing a practical guide on how to implement and conduct lab experiments in the freely available experimental platform Brownie.

Laying the groundwork of the tutorial, the paper first provides a brief overview of common design considerations for lab experiments and a generic session framework. Building on the use case of the widely used trust game, the paper then covers the different stages involved in running an experimental session and maps the conceptual elements of the study design to the implementation of the experimental software.

The paper generates findings on how computerized lab experiments can be designed and implemented. Furthermore, it maps out the design considerations an experimenter may take into account when implementing an experiment and organizing it along a session structure (e.g. participant instructions, individual and group interaction, state and trait questionnaires).

The paper reduces barriers for researchers to engage in experiment implementation and replication by providing a step-by-step tutorial for the design and implementation of human lab experiments.

There are several ways to define words. One is to ascertain the formal definition by looking it up in the dictionary. Another is to identify what it is that you want the word-label to differentiate.

The purpose of this paper is to discuss the use of stereoscopic virtual technology in textile and fashion studies in particular to the area of chemical experiment. The development of a designed virtual platform, called Stereoscopic Chemical Laboratory (SCL), is introduced.

To implement the suggested educational approaches of SCL, a set of teaching and learning materials with emphasis on the application methods was revised from the existing subjects. The architecture of SCL includes building of virtual objects with the Autodesk software Maya and designing of interactivity by using Unity, a game engine system. Prototype version of the SCL has been passed to selected academic colleagues and students for further evaluation and application feedback.

Textile students can conduct laboratory experiments associated with coloration and finishing of textile technologies in a stereoscopic 3D and multisensory laboratory, and hence enhance their learning experience. With the use of SCL, students can learn relevant experiment tools, experimental processes, procedures, and safety and health precautions.

There is very limited educational or training approach in applying stereoscopic virtual reality in teaching activities. In the area of textile experiment, the authors could say it is virtual and does not exist in current research domains.

Group incentive schemes have been shown to be positively associated with firm performance but it remains an open question whether this association can be explained by the motivating characteristics of the group-incentive scheme itself, or if this is due to factors that tend to accompany group-incentive schemes. We use a controlled experiment to directly test if group-incentive schemes can motivate sustained individual effort in the absence of rules, norms, and institutions that are known to mitigate free-riding behavior.

We use a controlled lab experiment that randomly assigns subjects to one of three compensation contracts used to incentivize an onerous effort task. Two of the compensation contracts are group-incentive schemes where subjects have an incentive to free-ride on the efforts of their coworkers, and the third (control) is a flat-wage contract.

We find that both group-incentive schemes resulted in sustained, higher performance relative to the flat-wage compensation contract. Further, we do not find evidence of free-riding behavior under the two group-incentive schemes.

Although we do find sustained cooperation/performance over the three work periods of our experiment under the group-incentive schemes, further testing would be required to evaluate whether group-incentive schemes can sustain cooperation over a longer time horizon without complementary norms, policies, or institutions that mitigate free-riding.

By unambiguously showing that group-incentive schemes can, by themselves, motivate workers to provide sustained levels of effort, this suggests that the “1/n problem” may be, in part, an artifact of the rational-actor modeling conventions.

How can laboratory experiments help us understand banking crises, including the usefulness of various policy responses? After giving a concise introduction to the field of experimental economics more generally, the author attempts to provide answers. The paper aims to discuss this issue.

The author discusses methodology and surveys relevant work.

History is often too complicated to be meaningfully revamped or modified in the lab, for purposes of insight-by-analogy. But as people argue about how to understand financial history, they bring ideas to the table. It is possible and useful to test the empirical relevance of these ideas in lab experiments.

The paper pioneers broad discussion of how lab experiments may shed light on banking crises.

If we are to examine the role of “controls” in different experimental settings, it is appropriate that the word be defined carefully. The Oxford English Dictionary (Second Edition) defines the verb “control” in the following manner: “To exercise restraint or direction upon the free action of; to hold sway over, exercise power or authority over; to dominate, command.” So the word means something more active and interventionist than is suggested by it’s colloquial clinical usage. Control can include such mundane things as ensuring sterile equipment in a chemistry lab, to restrain the free flow of germs and unwanted particles that might contaminate some test.

The use of behavioral insights and experimental methods has recently gained momentum among health policy-makers. There is a tendency, however, to reduce behavioral insights applications in health to “nudges,” and to reduce experiments in health to “randomized controlled trials” (RCTs). We argue that there is much more to behavioral insights and experimental methods in health economics than just nudges and RCTs. First, there is a broad and rich array of complementary experimental methods spanning the lab to the field, and all of them could prove useful in health economics. Second, there are a host of challenges in health economics, policy, and management where the application of behavioral insights and experimental methods is timely and highly promising. We illustrate this point by describing applications of experimental methods and behavioral insights to one specific topic of fundamental relevance for health research and policy: the experimental elicitation and econometric estimation of risk and time preferences. We start by reviewing the main methods of measuring risk and time preferences in health. We then focus on the “behavioral econometrics” approach to jointly elicit and estimate risk and time preferences, and we illustrate its state-of-the-art applications to health.

We review the existing laboratory experimental studies on corruption that have generated results with clear policy implications. We present and discuss experimental findings on the role that both monetary incentives and nonmonetary motivations may play in corruption decision-making, and, hence, in the fight against corruption.