Disadvantages of data driven instruction

Disadvantages include social isolation up-front costs and technical problems. Access and summative assessment because they are factors because interactive instruction was received frequent Using the manual method of data entry can compromise the system where security is an issue. Classified information may leak, and sensitive data may develop legs and walk away and thus compromise the entire system. The advantage and disadvantages of manual data entry notwithstanding, it should be noted that when data exist only in physical form ECA's workshops on data driven decision making - Helping Teachers Use Assessment Data Services and Using Assessment to Inform Curriculum - provide teachers and education leaders with intensive learning opportunities and necessary tools for systematically collecting, organizing and analyzing multiple data sources to improve student performance. As Earl and Katz (2002) noted, the use of data for school improvement is no longer a choice, yet issues still remain for its impact on practice for three primary reasons: timely availability of data, accessibility to data, and teacher understanding of how to use the data for classroom instruction or differentiated instruction. Reported disadvantages of big data include the following: Need for talent: Data scientists and big data experts are among the most highly coveted —and highly paid — workers in the IT field. The AtScale survey found that the lack of a big data skill set has been the number one big data challenge for the past three years. Data-driven is also successfully used to know the main market trends from all relevant elements. Since data is collected at the level of the entire company, it is not at risk of getting lost or remaining in the shadows. It is important that the data is not disseminated but is part of a whole to ensure internal consistency of the company. Data-driven decision making (or DDDM) is the process of making organizational decisions based on actual data rather than intuition or observation alone. Every industry today aims to be data-driven. No company, group, or organization says, "Let's not use the data; our intuition alone will lead to solid decisions.". However there are also potential disadvantages: Cost: Quality materials take time to produce and adequate staff time as well as resources need to be allocated. Quality: Teacher-made materials will not normally have the same standard of design and production as commercial materials and hence may not present the same image as commercial materials. Disadvantages of CAI 1 A programmer cannot govern for every possible there and comprehensive give unexpected and unhelpful responses to unusual input 2. Pros and Cons of Computer Technology in the Inconsistency in data entry, room for errors, miskeying information. Large ongoing staff training cost. System is dependent on good individuals. Reduction in sharing information and customer Most K-12 public school teachers keep at least one computer in their classroom. But far beyond the reach of simple desktops, most teachers also report a variety of other tech devices at school—LCDs or projectors, digital cameras, and interactive whiteboards.But with the advent of in-class technology, and more and more options for teachers and administrators alike, the question must be